TY  - CONF
AU  - Zlatanović, Ivan
AU  - Simonović, Vojislav
AU  - Rudonja, Nedžad
AU  - Firfiris, Vasileios
AU  - Marković, Dragan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5028
AB  - Ultrasonics is new science that is being intensively developed in recent years. Sound velocity is a valuable engineering tool and non-destructive, non-invasive, non-intrusive technique of measurement.  The authors were highly motivated to collect data from as many research papers as possible in order to see the possibilities and examples of applying this technology. The various effects of ultrasound were discussed and outlined in a context of different uses to accelerate or support agricultural production processes like: the effects of ultrasound waves, the commercial and diagnostical applications possibilities. The field of biotechnical engineering is very multidisciplinary and, accordingly, there is a diversity in approaches and possibilities of applying ultrasound. The overall conclusion of our work is that the use of ultrasound in biotechnical research brings various benefits, and in some cases, it is extremely supported and recommended. Also, there is great flexibility in the ways in which this technology can be applied, which leaves engineers a lot of freedom in expressing creative solutions and applications.
PB  - Department of Mechanical Sciences, Rajalakshmi Engineering College
C3  - The International Conference on Energy, Smart Structure and Manufacturing - ICESSM2022
T1  - Technical review on the applications of ultrasound in the engineering of  biotechnical systems
SP  - Paper ID: ICESSM-021-EI
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5028
ER  - 

@conference{
author = "Zlatanović, Ivan and Simonović, Vojislav and Rudonja, Nedžad and Firfiris, Vasileios and Marković, Dragan",
year = "2022",
abstract = "Ultrasonics is new science that is being intensively developed in recent years. Sound velocity is a valuable engineering tool and non-destructive, non-invasive, non-intrusive technique of measurement.  The authors were highly motivated to collect data from as many research papers as possible in order to see the possibilities and examples of applying this technology. The various effects of ultrasound were discussed and outlined in a context of different uses to accelerate or support agricultural production processes like: the effects of ultrasound waves, the commercial and diagnostical applications possibilities. The field of biotechnical engineering is very multidisciplinary and, accordingly, there is a diversity in approaches and possibilities of applying ultrasound. The overall conclusion of our work is that the use of ultrasound in biotechnical research brings various benefits, and in some cases, it is extremely supported and recommended. Also, there is great flexibility in the ways in which this technology can be applied, which leaves engineers a lot of freedom in expressing creative solutions and applications.",
publisher = "Department of Mechanical Sciences, Rajalakshmi Engineering College",
journal = "The International Conference on Energy, Smart Structure and Manufacturing - ICESSM2022",
title = "Technical review on the applications of ultrasound in the engineering of  biotechnical systems",
pages = "Paper ID: ICESSM-021-EI",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5028"
}

Zlatanović, I., Simonović, V., Rudonja, N., Firfiris, V.,& Marković, D.. (2022). Technical review on the applications of ultrasound in the engineering of  biotechnical systems. in The International Conference on Energy, Smart Structure and Manufacturing - ICESSM2022
Department of Mechanical Sciences, Rajalakshmi Engineering College., Paper ID: ICESSM-021-EI.
https://hdl.handle.net/21.15107/rcub_machinery_5028

Zlatanović I, Simonović V, Rudonja N, Firfiris V, Marković D. Technical review on the applications of ultrasound in the engineering of  biotechnical systems. in The International Conference on Energy, Smart Structure and Manufacturing - ICESSM2022. 2022;:Paper ID: ICESSM-021-EI.
https://hdl.handle.net/21.15107/rcub_machinery_5028 .

Zlatanović, Ivan, Simonović, Vojislav, Rudonja, Nedžad, Firfiris, Vasileios, Marković, Dragan, "Technical review on the applications of ultrasound in the engineering of  biotechnical systems" in The International Conference on Energy, Smart Structure and Manufacturing - ICESSM2022 (2022):Paper ID: ICESSM-021-EI,
https://hdl.handle.net/21.15107/rcub_machinery_5028 .

TY  - JOUR
AU  - Stevanović, Snežana M.
AU  - Petrović, Tanja S.
AU  - Marković, Dragan
AU  - Milovančević, Uroš
AU  - Stevanović, Simo V
AU  - Urošević, Tijana M.
AU  - Kozarski, Maja S.
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/102
AB  - The effects of different freezing methods and long-term frozen storage on quality of strawberry and raspberry were investigated, that is, the retention of initial property and free radical scavenging (AO) activity after individual quick freezing (IQF) and conventional (discontinuous) freezing. The physicochemical properties, vitamin C, and AO activity were more affected by long-term frozen storage than by freezing itself; however, their better retention was obtained after IQF. Moreover, AO activity was found to be higher in frozen samples compared to fresh fruits, but significant decrease was detected after 8 months of frozen storage. Despite the significantly higher initial content of vitamin C in strawberry, it demonstrated a lower AO activity than raspberry. Sensory attributes were significantly affected by freezing; the most considerable changes were recorded on their texture/firmness, especially after conventional (slow) freezing. Therefore, IQF can generally be suggested as a more suitable method of preserving these delicate fruits than slow freezing. Practical applications Nowadays, consumers are increasingly interested in foods that possess not only good nutritional value but also health-promoting property. Berries are known as rich sources of micronutrients and antioxidant compounds, but consumption of fresh strawberry and raspberry fruits may be limited because of seasonal and market availability; therefore, they must be preserved commonly by freezing. Frozen food industry is of crucial importance for developing countries, in which the fast freezing industry is rapidly developed. Investigation of the effect of industrial freezing and frozen storage on retention of the quality-related property and antioxidant activity is important for providing the best quality for consumers and health benefits, as well as international fruit trade. In addition, the results obtained in this study could provide best practice and guidance for the frozen fruit industry.
PB  - Wiley, Hoboken
T2  - Journal of Food Processing and Preservation
T1  - Changes of quality and free radical scavenging activity of strawberry and raspberry frozen under different conditions
DO  - 10.1111/jfpp.15981
ER  - 

@article{
author = "Stevanović, Snežana M. and Petrović, Tanja S. and Marković, Dragan and Milovančević, Uroš and Stevanović, Simo V and Urošević, Tijana M. and Kozarski, Maja S.",
year = "2021",
abstract = "The effects of different freezing methods and long-term frozen storage on quality of strawberry and raspberry were investigated, that is, the retention of initial property and free radical scavenging (AO) activity after individual quick freezing (IQF) and conventional (discontinuous) freezing. The physicochemical properties, vitamin C, and AO activity were more affected by long-term frozen storage than by freezing itself; however, their better retention was obtained after IQF. Moreover, AO activity was found to be higher in frozen samples compared to fresh fruits, but significant decrease was detected after 8 months of frozen storage. Despite the significantly higher initial content of vitamin C in strawberry, it demonstrated a lower AO activity than raspberry. Sensory attributes were significantly affected by freezing; the most considerable changes were recorded on their texture/firmness, especially after conventional (slow) freezing. Therefore, IQF can generally be suggested as a more suitable method of preserving these delicate fruits than slow freezing. Practical applications Nowadays, consumers are increasingly interested in foods that possess not only good nutritional value but also health-promoting property. Berries are known as rich sources of micronutrients and antioxidant compounds, but consumption of fresh strawberry and raspberry fruits may be limited because of seasonal and market availability; therefore, they must be preserved commonly by freezing. Frozen food industry is of crucial importance for developing countries, in which the fast freezing industry is rapidly developed. Investigation of the effect of industrial freezing and frozen storage on retention of the quality-related property and antioxidant activity is important for providing the best quality for consumers and health benefits, as well as international fruit trade. In addition, the results obtained in this study could provide best practice and guidance for the frozen fruit industry.",
publisher = "Wiley, Hoboken",
journal = "Journal of Food Processing and Preservation",
title = "Changes of quality and free radical scavenging activity of strawberry and raspberry frozen under different conditions",
doi = "10.1111/jfpp.15981"
}

Stevanović, S. M., Petrović, T. S., Marković, D., Milovančević, U., Stevanović, S. V., Urošević, T. M.,& Kozarski, M. S.. (2021). Changes of quality and free radical scavenging activity of strawberry and raspberry frozen under different conditions. in Journal of Food Processing and Preservation
Wiley, Hoboken..
https://doi.org/10.1111/jfpp.15981

Stevanović SM, Petrović TS, Marković D, Milovančević U, Stevanović SV, Urošević TM, Kozarski MS. Changes of quality and free radical scavenging activity of strawberry and raspberry frozen under different conditions. in Journal of Food Processing and Preservation. 2021;.
doi:10.1111/jfpp.15981 .

Stevanović, Snežana M., Petrović, Tanja S., Marković, Dragan, Milovančević, Uroš, Stevanović, Simo V, Urošević, Tijana M., Kozarski, Maja S., "Changes of quality and free radical scavenging activity of strawberry and raspberry frozen under different conditions" in Journal of Food Processing and Preservation (2021),
https://doi.org/10.1111/jfpp.15981 . .

TY  - CONF
AU  - Simonović, Andrej
AU  - Marković, Dragan
AU  - Zlatanović, Ivan
AU  - Simonović, Vojislav
AU  - Pajić, Miloš
AU  - Živković, Milovan
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5026
AB  - Agricultural industry is essential for humanity. It provides it with food, fibers, fuel and raw materials that are necessary for a normal living. As the technology advance, it is vital to see how the same technology can be implemented in other industries. With the development of Industry 4.0, many industries are trying to implement new technologies. Industry 4.0 represents the current peak of industry development. Today there are demands in various industries for shorter delivery and production time, more efficient, cost efficient and automated processes. The technology of Industry 4.0 can be applied to agricultural industry as well. Improvements of agricultural machineries in terms of electronic, sensors to enhance their current performances. Using electronics, sensors and drones, supports the data collection of agriculture key aspects, such as crops behaviour, weather, animals etc. The main task is how to implement the right methods in order to enhance agricultural industry with the help of Industry 4.0.
PB  - University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering
C3  - The Fifth International Symposium on Agricultural Engineering - ISAE-2021, Proceedings
T1  - Enhancing agricultural industry through industry 4.0
EP  - I-52
SP  - I-47
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5026
ER  - 

@conference{
author = "Simonović, Andrej and Marković, Dragan and Zlatanović, Ivan and Simonović, Vojislav and Pajić, Miloš and Živković, Milovan",
year = "2021",
abstract = "Agricultural industry is essential for humanity. It provides it with food, fibers, fuel and raw materials that are necessary for a normal living. As the technology advance, it is vital to see how the same technology can be implemented in other industries. With the development of Industry 4.0, many industries are trying to implement new technologies. Industry 4.0 represents the current peak of industry development. Today there are demands in various industries for shorter delivery and production time, more efficient, cost efficient and automated processes. The technology of Industry 4.0 can be applied to agricultural industry as well. Improvements of agricultural machineries in terms of electronic, sensors to enhance their current performances. Using electronics, sensors and drones, supports the data collection of agriculture key aspects, such as crops behaviour, weather, animals etc. The main task is how to implement the right methods in order to enhance agricultural industry with the help of Industry 4.0.",
publisher = "University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering",
journal = "The Fifth International Symposium on Agricultural Engineering - ISAE-2021, Proceedings",
title = "Enhancing agricultural industry through industry 4.0",
pages = "I-52-I-47",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5026"
}

Simonović, A., Marković, D., Zlatanović, I., Simonović, V., Pajić, M.,& Živković, M.. (2021). Enhancing agricultural industry through industry 4.0. in The Fifth International Symposium on Agricultural Engineering - ISAE-2021, Proceedings
University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering., I-47-I-52.
https://hdl.handle.net/21.15107/rcub_machinery_5026

Simonović A, Marković D, Zlatanović I, Simonović V, Pajić M, Živković M. Enhancing agricultural industry through industry 4.0. in The Fifth International Symposium on Agricultural Engineering - ISAE-2021, Proceedings. 2021;:I-47-I-52.
https://hdl.handle.net/21.15107/rcub_machinery_5026 .

Simonović, Andrej, Marković, Dragan, Zlatanović, Ivan, Simonović, Vojislav, Pajić, Miloš, Živković, Milovan, "Enhancing agricultural industry through industry 4.0" in The Fifth International Symposium on Agricultural Engineering - ISAE-2021, Proceedings (2021):I-47-I-52,
https://hdl.handle.net/21.15107/rcub_machinery_5026 .

TY  - JOUR
AU  - Stevanović, Snežana M.
AU  - Milovančević, Uroš
AU  - Otović, Milena
AU  - Marković, Dragan
AU  - Leposavić, Aleksandar
AU  - Urošević, Tijana
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5708
AB  - Freezing is the method usually used for preserving delicate fruit, because the product tends to maintain its original attributes, i.e., keeping its nutritional properties as close as possible to those of fresh fruit. Strawberry is a widespread and highly demanded fruit, but the fresh fruits are available in a short period of time and the largest amount of strawberry is processed by freezing. The aim of the paper is to determine the effect of process of freezing in the industrial conditions, with precooling, on the relevant parameters of the strawberry quality.  The fruits were frozen in the conventional freezing tunnel by cold air temperature of –33 °C until reaching a temperature of –15 °C in the thermal center of the fruits. Packaged frozen fruits were stored in the chamber  at –18 °C. In order to determine the changes in strawberry quality, the content of dry matter, total sugars and acids, pH, vitamin C, and sensory quality characteristics were analyzed. Also, quality index of the fresh and frozen strawberry is determined by calculation. The obtained results showed that there were no significant changes in the physicochemical parameters of quality after the freezing of the strawberry fruits. Significant  changes are found in the sensory characteristics and the most remarkable is the loss of consistency and firmness of the frozen strawberry. Also, some modified color, taste and aroma of the strawberry fruit have been noticed after freezing in the industrial conditions.
PB  - Beograd: SMEITS
T2  - KGH. Klimatizacija, grejanje, hlađenje
T1  - Effect of freezing in the industrial conditions  on quality of strawberry fruits
IS  - 3
VL  - 50
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5708
ER  - 

@article{
author = "Stevanović, Snežana M. and Milovančević, Uroš and Otović, Milena and Marković, Dragan and Leposavić, Aleksandar and Urošević, Tijana",
year = "2021",
abstract = "Freezing is the method usually used for preserving delicate fruit, because the product tends to maintain its original attributes, i.e., keeping its nutritional properties as close as possible to those of fresh fruit. Strawberry is a widespread and highly demanded fruit, but the fresh fruits are available in a short period of time and the largest amount of strawberry is processed by freezing. The aim of the paper is to determine the effect of process of freezing in the industrial conditions, with precooling, on the relevant parameters of the strawberry quality.  The fruits were frozen in the conventional freezing tunnel by cold air temperature of –33 °C until reaching a temperature of –15 °C in the thermal center of the fruits. Packaged frozen fruits were stored in the chamber  at –18 °C. In order to determine the changes in strawberry quality, the content of dry matter, total sugars and acids, pH, vitamin C, and sensory quality characteristics were analyzed. Also, quality index of the fresh and frozen strawberry is determined by calculation. The obtained results showed that there were no significant changes in the physicochemical parameters of quality after the freezing of the strawberry fruits. Significant  changes are found in the sensory characteristics and the most remarkable is the loss of consistency and firmness of the frozen strawberry. Also, some modified color, taste and aroma of the strawberry fruit have been noticed after freezing in the industrial conditions.",
publisher = "Beograd: SMEITS",
journal = "KGH. Klimatizacija, grejanje, hlađenje",
title = "Effect of freezing in the industrial conditions  on quality of strawberry fruits",
number = "3",
volume = "50",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5708"
}

Stevanović, S. M., Milovančević, U., Otović, M., Marković, D., Leposavić, A.,& Urošević, T.. (2021). Effect of freezing in the industrial conditions  on quality of strawberry fruits. in KGH. Klimatizacija, grejanje, hlađenje
Beograd: SMEITS., 50(3).
https://hdl.handle.net/21.15107/rcub_machinery_5708

Stevanović SM, Milovančević U, Otović M, Marković D, Leposavić A, Urošević T. Effect of freezing in the industrial conditions  on quality of strawberry fruits. in KGH. Klimatizacija, grejanje, hlađenje. 2021;50(3).
https://hdl.handle.net/21.15107/rcub_machinery_5708 .

Stevanović, Snežana M., Milovančević, Uroš, Otović, Milena, Marković, Dragan, Leposavić, Aleksandar, Urošević, Tijana, "Effect of freezing in the industrial conditions  on quality of strawberry fruits" in KGH. Klimatizacija, grejanje, hlađenje, 50, no. 3 (2021),
https://hdl.handle.net/21.15107/rcub_machinery_5708 .

TY  - GEN
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Mladenović, Goran
AU  - Pajić, Miloš
AU  - Milovančević, Uroš
AU  - Tasić, Nevena
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4897
AB  - Посредством предложеног новог техничког решења омогућава се постављање спектрометријских сензора на платформу која се потом агрегатира и прикључује на трактор у три тачке помоћу његовог подизног механизма. Доње прикључне тачке платформе везане су за рамску конструкцију платформе помоћу четири завртањске везе и могуће је подешавање њиховог међусобног растојања у хоризонталном правцу. На крила платформе се може поставити различит број сензора. Могуће је подешавање размака између њих. Средње крило налази се на вертикалним вођицама, те се његовим вертикалним кретањем подешава растојање између сензора и усева. Два бочна крила платформе везана су зглобном везом за средње. У транспортном положају бочна крила се подижу вертикално, а у радном положају се спуштају у радни положај и имају распон 6410 mm.
PB  - Beograd : Mašinski fakultet
T1  - Traktorska platforma za spektrometrijsko izviđanje useva
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4897
ER  - 

@misc{
author = "Simonović, Vojislav and Marković, Dragan and Mladenović, Goran and Pajić, Miloš and Milovančević, Uroš and Tasić, Nevena",
year = "2020",
abstract = "Посредством предложеног новог техничког решења омогућава се постављање спектрометријских сензора на платформу која се потом агрегатира и прикључује на трактор у три тачке помоћу његовог подизног механизма. Доње прикључне тачке платформе везане су за рамску конструкцију платформе помоћу четири завртањске везе и могуће је подешавање њиховог међусобног растојања у хоризонталном правцу. На крила платформе се може поставити различит број сензора. Могуће је подешавање размака између њих. Средње крило налази се на вертикалним вођицама, те се његовим вертикалним кретањем подешава растојање између сензора и усева. Два бочна крила платформе везана су зглобном везом за средње. У транспортном положају бочна крила се подижу вертикално, а у радном положају се спуштају у радни положај и имају распон 6410 mm.",
publisher = "Beograd : Mašinski fakultet",
title = "Traktorska platforma za spektrometrijsko izviđanje useva",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4897"
}

Simonović, V., Marković, D., Mladenović, G., Pajić, M., Milovančević, U.,& Tasić, N.. (2020). Traktorska platforma za spektrometrijsko izviđanje useva. 
Beograd : Mašinski fakultet..
https://hdl.handle.net/21.15107/rcub_machinery_4897

Simonović V, Marković D, Mladenović G, Pajić M, Milovančević U, Tasić N. Traktorska platforma za spektrometrijsko izviđanje useva. 2020;.
https://hdl.handle.net/21.15107/rcub_machinery_4897 .

Simonović, Vojislav, Marković, Dragan, Mladenović, Goran, Pajić, Miloš, Milovančević, Uroš, Tasić, Nevena, "Traktorska platforma za spektrometrijsko izviđanje useva" (2020),
https://hdl.handle.net/21.15107/rcub_machinery_4897 .

TY  - CONF
AU  - Simonović, Vojislav
AU  - Zlatanović, Ivan
AU  - Marković, Dragan
AU  - Ristić, Mladen
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4981
AB  - Seed plates of all seeding machines for widerow plants are powered by wheel of seeding machine and mechanical transmission. That has impact to volume and possibilitz of stearing.This paper show possibilities of using electromotor for power of seed plates as well as analysis possibylities acting stearing by electro system. In this paper are research measurement system and create stearing by programabil logic controller and shown idea for implementation steering of speed rotating of seed plates. That has aim to go about nominal seed space in row.
PB  - SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"
C3  - TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"
T1  - Contribution To The Implementation Of Software Contol For Seeding Plates
EP  - 132
IS  - 9
SP  - 129
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4981
ER  - 

@conference{
author = "Simonović, Vojislav and Zlatanović, Ivan and Marković, Dragan and Ristić, Mladen",
year = "2020",
abstract = "Seed plates of all seeding machines for widerow plants are powered by wheel of seeding machine and mechanical transmission. That has impact to volume and possibilitz of stearing.This paper show possibilities of using electromotor for power of seed plates as well as analysis possibylities acting stearing by electro system. In this paper are research measurement system and create stearing by programabil logic controller and shown idea for implementation steering of speed rotating of seed plates. That has aim to go about nominal seed space in row.",
publisher = "SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"",
journal = "TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"",
title = "Contribution To The Implementation Of Software Contol For Seeding Plates",
pages = "132-129",
number = "9",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4981"
}

Simonović, V., Zlatanović, I., Marković, D.,& Ristić, M.. (2020). Contribution To The Implementation Of Software Contol For Seeding Plates. in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"
SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"., 2(9), 129-132.
https://hdl.handle.net/21.15107/rcub_machinery_4981

Simonović V, Zlatanović I, Marković D, Ristić M. Contribution To The Implementation Of Software Contol For Seeding Plates. in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0". 2020;2(9):129-132.
https://hdl.handle.net/21.15107/rcub_machinery_4981 .

Simonović, Vojislav, Zlatanović, Ivan, Marković, Dragan, Ristić, Mladen, "Contribution To The Implementation Of Software Contol For Seeding Plates" in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0", 2, no. 9 (2020):129-132,
https://hdl.handle.net/21.15107/rcub_machinery_4981 .

TY  - CONF
AU  - Medojević, Ivana
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Ilić, Jelena
AU  - Joksimović, Aleksandra
AU  - Veg, Emil
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4671
AB  - Machine inspection is a mandatory technological process in industrial processing agriculture products. The camera detects color and shape based irregularities of the object resulting in a large number of parameters for decision-making and sorting product compliance. The goal was to discover a new criterion for decision-making using only the output signal of the RGB camera. Research employed the digital images of raspberries, blackberries, peas and yellow beans during real processing, obtained from a color sorter machine. The visual texture of the surface of the agricultural products was described via defined statistical indicators of color (color average value (Avg), standard deviation (Stdv), entropy (E), and lacunarity (L) was used from the sphere of image fractal analysis as one of the criteria. By applying the non-parametric tests: Wilcoxon signed rank and Friedman test, statistically significant difference was established for the L and Е criteria between compliant and non-compliant industrial products
PB  - SCIENTIFIC-TECHNICAL UNION OF MECHANICAL ENGINEERING “INDUSTRY 4.0"
C3  - Proceedings Industry 4.0. V International Scientific Conference - Winter Session
T1  - Imаge Segmentation Of Agricultural Products Using Statistical Indicators
EP  - 160
SP  - 155
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4671
ER  - 

@conference{
author = "Medojević, Ivana and Marković, Dragan and Simonović, Vojislav and Ilić, Jelena and Joksimović, Aleksandra and Veg, Emil",
year = "2020",
abstract = "Machine inspection is a mandatory technological process in industrial processing agriculture products. The camera detects color and shape based irregularities of the object resulting in a large number of parameters for decision-making and sorting product compliance. The goal was to discover a new criterion for decision-making using only the output signal of the RGB camera. Research employed the digital images of raspberries, blackberries, peas and yellow beans during real processing, obtained from a color sorter machine. The visual texture of the surface of the agricultural products was described via defined statistical indicators of color (color average value (Avg), standard deviation (Stdv), entropy (E), and lacunarity (L) was used from the sphere of image fractal analysis as one of the criteria. By applying the non-parametric tests: Wilcoxon signed rank and Friedman test, statistically significant difference was established for the L and Е criteria between compliant and non-compliant industrial products",
publisher = "SCIENTIFIC-TECHNICAL UNION OF MECHANICAL ENGINEERING “INDUSTRY 4.0"",
journal = "Proceedings Industry 4.0. V International Scientific Conference - Winter Session",
title = "Imаge Segmentation Of Agricultural Products Using Statistical Indicators",
pages = "160-155",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4671"
}

Medojević, I., Marković, D., Simonović, V., Ilić, J., Joksimović, A.,& Veg, E.. (2020). Imаge Segmentation Of Agricultural Products Using Statistical Indicators. in Proceedings Industry 4.0. V International Scientific Conference - Winter Session
SCIENTIFIC-TECHNICAL UNION OF MECHANICAL ENGINEERING “INDUSTRY 4.0"., 2, 155-160.
https://hdl.handle.net/21.15107/rcub_machinery_4671

Medojević I, Marković D, Simonović V, Ilić J, Joksimović A, Veg E. Imаge Segmentation Of Agricultural Products Using Statistical Indicators. in Proceedings Industry 4.0. V International Scientific Conference - Winter Session. 2020;2:155-160.
https://hdl.handle.net/21.15107/rcub_machinery_4671 .

Medojević, Ivana, Marković, Dragan, Simonović, Vojislav, Ilić, Jelena, Joksimović, Aleksandra, Veg, Emil, "Imаge Segmentation Of Agricultural Products Using Statistical Indicators" in Proceedings Industry 4.0. V International Scientific Conference - Winter Session, 2 (2020):155-160,
https://hdl.handle.net/21.15107/rcub_machinery_4671 .

TY  - CONF
AU  - Simonović, Vojislav
AU  - Simonović, Andrej
AU  - Marković, Dragan
AU  - Krstić, Dragan
AU  - Medojević, Ivana
AU  - Zlatanović, Ivan
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4963
AB  - This paper presents a case study of a barley field experiment that was periodically scouted using a drone spectral camera. The camera has 4 bands so barley was scouted using 4 wavelengths of light - Green, Red, Red Edge and Nir Infra Red (NIR). Based on these wavelengths it is possible to calculate different vegetation indexes known in science and practice. In this paper, 15 such indices were used. The research work concerned the observation of correlation between individual wavelengths and corresponding vegetation indexes. This paper seeks to emphasize the importance of particular wavelengths and spectral areas in crop scouting
PB  - Scientific-Technical Union of Mechanical Engineering
C3  - Agricultureal Machinery 2020, VIII International scientific congress, 24th – 27th June 2020, Varna, Bulgaria
T1  - Correlation Of Light Wavelengths On Spectral Camera And Vegetation Indexes In Barley Crop Scouting
EP  - 12
SP  - 10
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4963
ER  - 

@conference{
author = "Simonović, Vojislav and Simonović, Andrej and Marković, Dragan and Krstić, Dragan and Medojević, Ivana and Zlatanović, Ivan",
year = "2020",
abstract = "This paper presents a case study of a barley field experiment that was periodically scouted using a drone spectral camera. The camera has 4 bands so barley was scouted using 4 wavelengths of light - Green, Red, Red Edge and Nir Infra Red (NIR). Based on these wavelengths it is possible to calculate different vegetation indexes known in science and practice. In this paper, 15 such indices were used. The research work concerned the observation of correlation between individual wavelengths and corresponding vegetation indexes. This paper seeks to emphasize the importance of particular wavelengths and spectral areas in crop scouting",
publisher = "Scientific-Technical Union of Mechanical Engineering",
journal = "Agricultureal Machinery 2020, VIII International scientific congress, 24th – 27th June 2020, Varna, Bulgaria",
title = "Correlation Of Light Wavelengths On Spectral Camera And Vegetation Indexes In Barley Crop Scouting",
pages = "12-10",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4963"
}

Simonović, V., Simonović, A., Marković, D., Krstić, D., Medojević, I.,& Zlatanović, I.. (2020). Correlation Of Light Wavelengths On Spectral Camera And Vegetation Indexes In Barley Crop Scouting. in Agricultureal Machinery 2020, VIII International scientific congress, 24th – 27th June 2020, Varna, Bulgaria
Scientific-Technical Union of Mechanical Engineering., 10-12.
https://hdl.handle.net/21.15107/rcub_machinery_4963

Simonović V, Simonović A, Marković D, Krstić D, Medojević I, Zlatanović I. Correlation Of Light Wavelengths On Spectral Camera And Vegetation Indexes In Barley Crop Scouting. in Agricultureal Machinery 2020, VIII International scientific congress, 24th – 27th June 2020, Varna, Bulgaria. 2020;:10-12.
https://hdl.handle.net/21.15107/rcub_machinery_4963 .

Simonović, Vojislav, Simonović, Andrej, Marković, Dragan, Krstić, Dragan, Medojević, Ivana, Zlatanović, Ivan, "Correlation Of Light Wavelengths On Spectral Camera And Vegetation Indexes In Barley Crop Scouting" in Agricultureal Machinery 2020, VIII International scientific congress, 24th – 27th June 2020, Varna, Bulgaria (2020):10-12,
https://hdl.handle.net/21.15107/rcub_machinery_4963 .

TY  - CONF
AU  - Simonović, Andrej
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Krstić, Dragan
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4980
AB  - Industry 4.0 represents the newest generation of industry development. Every day the various demands in industry are getting more and more demanding. The demand for shorter production and delivery time, more efficient and automated processes has led us to the Industry 4.0. It is necessary to include and integrate the latest developments based on digital technologies as well as the interoperability process across them. The goals is to enable companies to transmit information in real time in terms of performance and behaviour. Industry 4.0 can be applied to any branch of industry. Agricultural industry is no exception. As far as agricultural machinery is concerned, it is a very important part of agricultural industry. Agricultural machinery incorporates electronic controls and it is a part of digital age, enhancing their current performance. In addition to the electronics, using sensors and drones, supports the data collection of several agriculture key 
aspects, such as weather, animals and crops behaviour, geographical spatialization, etc. The main tasks are how to apply the right methods and methodologies in order to support a better supply chain decision-making process, how to automate the process and how can Industry 
4.0 help a person, who is in agricultural industry, in order to make effective decisions based on objective data.
PB  - SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"
C3  - TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"
T1  - Impact Of Industry 4.0 On Agricultural Industry
EP  - 93
IS  - 9
SP  - 91
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4980
ER  - 

@conference{
author = "Simonović, Andrej and Simonović, Vojislav and Marković, Dragan and Krstić, Dragan",
year = "2020",
abstract = "Industry 4.0 represents the newest generation of industry development. Every day the various demands in industry are getting more and more demanding. The demand for shorter production and delivery time, more efficient and automated processes has led us to the Industry 4.0. It is necessary to include and integrate the latest developments based on digital technologies as well as the interoperability process across them. The goals is to enable companies to transmit information in real time in terms of performance and behaviour. Industry 4.0 can be applied to any branch of industry. Agricultural industry is no exception. As far as agricultural machinery is concerned, it is a very important part of agricultural industry. Agricultural machinery incorporates electronic controls and it is a part of digital age, enhancing their current performance. In addition to the electronics, using sensors and drones, supports the data collection of several agriculture key 
aspects, such as weather, animals and crops behaviour, geographical spatialization, etc. The main tasks are how to apply the right methods and methodologies in order to support a better supply chain decision-making process, how to automate the process and how can Industry 
4.0 help a person, who is in agricultural industry, in order to make effective decisions based on objective data.",
publisher = "SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"",
journal = "TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"",
title = "Impact Of Industry 4.0 On Agricultural Industry",
pages = "93-91",
number = "9",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4980"
}

Simonović, A., Simonović, V., Marković, D.,& Krstić, D.. (2020). Impact Of Industry 4.0 On Agricultural Industry. in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0"
SCIENTIFIC-TECHNICAL UNION of MECHANICAL ENGINEERING “INDUSTRY 4.0"., 2(9), 91-93.
https://hdl.handle.net/21.15107/rcub_machinery_4980

Simonović A, Simonović V, Marković D, Krstić D. Impact Of Industry 4.0 On Agricultural Industry. in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0". 2020;2(9):91-93.
https://hdl.handle.net/21.15107/rcub_machinery_4980 .

Simonović, Andrej, Simonović, Vojislav, Marković, Dragan, Krstić, Dragan, "Impact Of Industry 4.0 On Agricultural Industry" in TECHNOLOGICAL BASIS OF "INDUSTRY 4.0" SOCIETY & „INDUSTRY 4.0", 2, no. 9 (2020):91-93,
https://hdl.handle.net/21.15107/rcub_machinery_4980 .

TY  - CONF
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Medojević, Ivana
AU  - Joksimović, Aleksandra
AU  - Tasić, Nevena
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4957
AB  - When preparing a crop scouting mission using UAS, two parameters are set: flight altitude and overlap of images. In practice, crop scouting is most often done at altitudes of 70 to 100 meters, and the switchover is most often between 50 and 100%. The research question that is dealt with in this paper is whether there is a significant difference in the obtained light reflection indexes and consequently postprocessed vegetation indexes, depending on height and overlap. The flight height of the UAS dictates spatial resolution, and the switching dictates the time resolution of the 
reconnaissance. The research was carried out on the experimental plot of barley. The missions were consecutive and performed in perfect weather conditions. The sky was clear, and the light was approximately uniform during all missions with variable heights and overlaps.
PB  - University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering,  Belgrade, Serbia
C3  - The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
T1  - Flight Altitude Of Uas And Overlap Of Images By Multispectral Camera Optimization For Crop Scouting
EP  - I-49
SP  - I-46
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4957
ER  - 

@conference{
author = "Simonović, Vojislav and Marković, Dragan and Medojević, Ivana and Joksimović, Aleksandra and Tasić, Nevena",
year = "2019",
abstract = "When preparing a crop scouting mission using UAS, two parameters are set: flight altitude and overlap of images. In practice, crop scouting is most often done at altitudes of 70 to 100 meters, and the switchover is most often between 50 and 100%. The research question that is dealt with in this paper is whether there is a significant difference in the obtained light reflection indexes and consequently postprocessed vegetation indexes, depending on height and overlap. The flight height of the UAS dictates spatial resolution, and the switching dictates the time resolution of the 
reconnaissance. The research was carried out on the experimental plot of barley. The missions were consecutive and performed in perfect weather conditions. The sky was clear, and the light was approximately uniform during all missions with variable heights and overlaps.",
publisher = "University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering,  Belgrade, Serbia",
journal = "The Fourth International Symposium on  Agricultural Engineering  ISAE-2019",
title = "Flight Altitude Of Uas And Overlap Of Images By Multispectral Camera Optimization For Crop Scouting",
pages = "I-49-I-46",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4957"
}

Simonović, V., Marković, D., Medojević, I., Joksimović, A.,& Tasić, N.. (2019). Flight Altitude Of Uas And Overlap Of Images By Multispectral Camera Optimization For Crop Scouting. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering,  Belgrade, Serbia., I-46-I-49.
https://hdl.handle.net/21.15107/rcub_machinery_4957

Simonović V, Marković D, Medojević I, Joksimović A, Tasić N. Flight Altitude Of Uas And Overlap Of Images By Multispectral Camera Optimization For Crop Scouting. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019. 2019;:I-46-I-49.
https://hdl.handle.net/21.15107/rcub_machinery_4957 .

Simonović, Vojislav, Marković, Dragan, Medojević, Ivana, Joksimović, Aleksandra, Tasić, Nevena, "Flight Altitude Of Uas And Overlap Of Images By Multispectral Camera Optimization For Crop Scouting" in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019 (2019):I-46-I-49,
https://hdl.handle.net/21.15107/rcub_machinery_4957 .

TY  - CONF
AU  - Medojević, Ivana
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Joksimović, Aleksandra
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4961
AB  - The inspection and sorting of agricultural products is a necessary technological operation in the agricultural and food industries. Research in this area shows significant potential in improving the inspection and evaluation of fruits, vegetables, the quality of cereals and other agricultural products, as well as the evaluation of the quality of prepared food products by non-destructive methods. As an integrated system, machine vision has been widely used to test, monitor and control various industrial processes. The increasing and complex performance requirements of 
modern machine vision systems require their further improvement through the development of new, intelligent solutions. Automatic non-destructive recognition of the qualitative characteristics of different types of bio products is a constant challenge for researchers, where the imperative is on product and method which is applicable in industrial conditions. In this regard, there is a large number of works with experimental and numerical data collected for different construction solutions and operating conditions. This paper will analyze the development of machine vision as well as its application in agriculture over the last five years. A special part will be guidelines for the direction of further research in the field of optical recognition of agricultural products.
PB  - University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering
C3  - The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
T1  - Development And Application Of Machine Vision For Inspection Of Agricultural Products
EP  - I-133
SP  - I-126
VL  - 4
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4961
ER  - 

@conference{
author = "Medojević, Ivana and Marković, Dragan and Simonović, Vojislav and Joksimović, Aleksandra",
year = "2019",
abstract = "The inspection and sorting of agricultural products is a necessary technological operation in the agricultural and food industries. Research in this area shows significant potential in improving the inspection and evaluation of fruits, vegetables, the quality of cereals and other agricultural products, as well as the evaluation of the quality of prepared food products by non-destructive methods. As an integrated system, machine vision has been widely used to test, monitor and control various industrial processes. The increasing and complex performance requirements of 
modern machine vision systems require their further improvement through the development of new, intelligent solutions. Automatic non-destructive recognition of the qualitative characteristics of different types of bio products is a constant challenge for researchers, where the imperative is on product and method which is applicable in industrial conditions. In this regard, there is a large number of works with experimental and numerical data collected for different construction solutions and operating conditions. This paper will analyze the development of machine vision as well as its application in agriculture over the last five years. A special part will be guidelines for the direction of further research in the field of optical recognition of agricultural products.",
publisher = "University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering",
journal = "The Fourth International Symposium on  Agricultural Engineering  ISAE-2019",
title = "Development And Application Of Machine Vision For Inspection Of Agricultural Products",
pages = "I-133-I-126",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4961"
}

Medojević, I., Marković, D., Simonović, V.,& Joksimović, A.. (2019). Development And Application Of Machine Vision For Inspection Of Agricultural Products. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering., 4, I-126-I-133.
https://hdl.handle.net/21.15107/rcub_machinery_4961

Medojević I, Marković D, Simonović V, Joksimović A. Development And Application Of Machine Vision For Inspection Of Agricultural Products. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019. 2019;4:I-126-I-133.
https://hdl.handle.net/21.15107/rcub_machinery_4961 .

Medojević, Ivana, Marković, Dragan, Simonović, Vojislav, Joksimović, Aleksandra, "Development And Application Of Machine Vision For Inspection Of Agricultural Products" in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019, 4 (2019):I-126-I-133,
https://hdl.handle.net/21.15107/rcub_machinery_4961 .

TY  - CONF
AU  - Tasić, Nevena
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Mladenović, Goran
AU  - Medojević, Ivana
AU  - Joksimović, Aleksandra
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4958
AB  - This paper presents different methods for detecting changes in the condition of crops and making a special contribution through the presentation of modeling a tractor platform for crop scouting. This platform was designed in the APS LAB laboratory at the Faculty of Mechanical Engineering in Belgrade intended for the placement of spectrometric sensors. The choice of a suitable method or algorithm for the desired crop scouting is crucial for the success of further analysis of the obtained 
data. Four modes of spectrometry are presented. Beside handheld sensors, there are described methods of data capture via drones and satellites. Most of this paper belongs to the use of sensors in the composition of agricultural machines. This type of scouting is the most effective when it is carried out simultaneously with the distribution of mineral nutrients and crop protection. The tractor platform, on which the sensors are located, can be either a worn type or a connecting type that allows connection to a tractor in three-point in the conventional way. Except for the aforementioned ways, the sensors can be placed on the roof of the tractor or directly on the working machines. 
The process of constructing and modeling the front tractor platform is presented in detail in Solid Works program. Apart from the construction shown, there is a possibility of changing the platform. All foreseen and feasible variants are presented in this paper.
PB  - University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering
C3  - The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
T1  - Modeling Of Tractor Platform For Crop Scouting
EP  - I-18
SP  - I-10
VL  - 4
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4958
ER  - 

@conference{
author = "Tasić, Nevena and Marković, Dragan and Simonović, Vojislav and Mladenović, Goran and Medojević, Ivana and Joksimović, Aleksandra",
year = "2019",
abstract = "This paper presents different methods for detecting changes in the condition of crops and making a special contribution through the presentation of modeling a tractor platform for crop scouting. This platform was designed in the APS LAB laboratory at the Faculty of Mechanical Engineering in Belgrade intended for the placement of spectrometric sensors. The choice of a suitable method or algorithm for the desired crop scouting is crucial for the success of further analysis of the obtained 
data. Four modes of spectrometry are presented. Beside handheld sensors, there are described methods of data capture via drones and satellites. Most of this paper belongs to the use of sensors in the composition of agricultural machines. This type of scouting is the most effective when it is carried out simultaneously with the distribution of mineral nutrients and crop protection. The tractor platform, on which the sensors are located, can be either a worn type or a connecting type that allows connection to a tractor in three-point in the conventional way. Except for the aforementioned ways, the sensors can be placed on the roof of the tractor or directly on the working machines. 
The process of constructing and modeling the front tractor platform is presented in detail in Solid Works program. Apart from the construction shown, there is a possibility of changing the platform. All foreseen and feasible variants are presented in this paper.",
publisher = "University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering",
journal = "The Fourth International Symposium on  Agricultural Engineering  ISAE-2019",
title = "Modeling Of Tractor Platform For Crop Scouting",
pages = "I-18-I-10",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4958"
}

Tasić, N., Marković, D., Simonović, V., Mladenović, G., Medojević, I.,& Joksimović, A.. (2019). Modeling Of Tractor Platform For Crop Scouting. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019
University of Belgrade, Faculty of Agriculture, Department for Agricultural Engineering., 4, I-10-I-18.
https://hdl.handle.net/21.15107/rcub_machinery_4958

Tasić N, Marković D, Simonović V, Mladenović G, Medojević I, Joksimović A. Modeling Of Tractor Platform For Crop Scouting. in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019. 2019;4:I-10-I-18.
https://hdl.handle.net/21.15107/rcub_machinery_4958 .

Tasić, Nevena, Marković, Dragan, Simonović, Vojislav, Mladenović, Goran, Medojević, Ivana, Joksimović, Aleksandra, "Modeling Of Tractor Platform For Crop Scouting" in The Fourth International Symposium on  Agricultural Engineering  ISAE-2019, 4 (2019):I-10-I-18,
https://hdl.handle.net/21.15107/rcub_machinery_4958 .

TY  - JOUR
AU  - Medojević, Ivana
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Joksimović, Aleksandra
AU  - Šakota-Rosić, Jovana
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3049
AB  - Obećavajući koncept veštačke inteligencije koji beleži intenzivan razvoj u oblasti digitalne obrade slike je duboko učenje (Deep Learning - DL). Intenzivnije istraživanje u okviru ove oblasti beleži se poslednje dve decenije, a primenu poprima i u poljoprivrednoj industriji. U okviru ovog radu opisana je tehnologija DL koja predstavlja deo mašinskog učenja (Machine Learning - ML), bazirajući se na konvolucijske neuralne mreže (Convolution Neural Networks - CNN). Posebnu primenu zauzima u mašinskoj viziji gde omogućava mašinama da uče iz iskustva, prilagođavaju se novim tehnologijama i obavljaju ljudske zadatke. Ulazni podaci mogu biti iz raznovrsnih izvora: od klasičnih digitalnih snimaka kamere do satelitskih snimaka, kao i snimaka dobijenih pomoću hiperspektralnih, termalnih i infrared kamera. Sve je veća popularnost i upotreba dronova na poljoprivrednim površinama, a samom primenom ovih novih tehnologija dolazi se do ogromnog broja podataka koje je potrebno obraditi u realnom vremenu, stoga se i algoritmi DL sve više upotrebljavaju. U radu su prikazane dosadašnje primene CNN u primarnoj i preciznoj poljoprivredi kao i moguće primene DL u budućnosti.
AB  - A promising concept of artificial intelligence that records intense developments in the field of digital imaging is Deep Learning (DL). More intensive research within this field has been recorded over the past two decades, and has been applied in the agricultural industry as well. This paper will describe the DL technology which represents a part of Machine Learning (ML), based on Convolutional Neural Networks (CNN). It takes a special application in a machine vision where it allows machines to learn from experience, adapt to new technologies, and perform human tasks. Input data can be from a variety of sources: from classic digital camera shots to satellite images, as well as from recordings obtained by means of hyperspectral, thermal and infrared cameras. The increasing popularity and use of trunks in agricultural fields is increasing, and the very application of these new technologies leads to the huge amount of data that needs to be processed in real time, therefore, DL algorithms are increasingly used. The paper will summarize the current and considered possible applications of CNN in primary and precise agriculture in the future.
PB  - Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd
T2  - Poljoprivredna tehnika
T1  - Konvolucijske neuronske mreže - primena u preciznoj poljoprivredi
T1  - The convolutional neural networks: Applications in precision agriculture
EP  - 9
IS  - 1
SP  - 1
VL  - 44
DO  - 10.5937/PoljTeh1901001M
ER  - 

@article{
author = "Medojević, Ivana and Marković, Dragan and Simonović, Vojislav and Joksimović, Aleksandra and Šakota-Rosić, Jovana",
year = "2019",
abstract = "Obećavajući koncept veštačke inteligencije koji beleži intenzivan razvoj u oblasti digitalne obrade slike je duboko učenje (Deep Learning - DL). Intenzivnije istraživanje u okviru ove oblasti beleži se poslednje dve decenije, a primenu poprima i u poljoprivrednoj industriji. U okviru ovog radu opisana je tehnologija DL koja predstavlja deo mašinskog učenja (Machine Learning - ML), bazirajući se na konvolucijske neuralne mreže (Convolution Neural Networks - CNN). Posebnu primenu zauzima u mašinskoj viziji gde omogućava mašinama da uče iz iskustva, prilagođavaju se novim tehnologijama i obavljaju ljudske zadatke. Ulazni podaci mogu biti iz raznovrsnih izvora: od klasičnih digitalnih snimaka kamere do satelitskih snimaka, kao i snimaka dobijenih pomoću hiperspektralnih, termalnih i infrared kamera. Sve je veća popularnost i upotreba dronova na poljoprivrednim površinama, a samom primenom ovih novih tehnologija dolazi se do ogromnog broja podataka koje je potrebno obraditi u realnom vremenu, stoga se i algoritmi DL sve više upotrebljavaju. U radu su prikazane dosadašnje primene CNN u primarnoj i preciznoj poljoprivredi kao i moguće primene DL u budućnosti., A promising concept of artificial intelligence that records intense developments in the field of digital imaging is Deep Learning (DL). More intensive research within this field has been recorded over the past two decades, and has been applied in the agricultural industry as well. This paper will describe the DL technology which represents a part of Machine Learning (ML), based on Convolutional Neural Networks (CNN). It takes a special application in a machine vision where it allows machines to learn from experience, adapt to new technologies, and perform human tasks. Input data can be from a variety of sources: from classic digital camera shots to satellite images, as well as from recordings obtained by means of hyperspectral, thermal and infrared cameras. The increasing popularity and use of trunks in agricultural fields is increasing, and the very application of these new technologies leads to the huge amount of data that needs to be processed in real time, therefore, DL algorithms are increasingly used. The paper will summarize the current and considered possible applications of CNN in primary and precise agriculture in the future.",
publisher = "Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd",
journal = "Poljoprivredna tehnika",
title = "Konvolucijske neuronske mreže - primena u preciznoj poljoprivredi, The convolutional neural networks: Applications in precision agriculture",
pages = "9-1",
number = "1",
volume = "44",
doi = "10.5937/PoljTeh1901001M"
}

Medojević, I., Marković, D., Simonović, V., Joksimović, A.,& Šakota-Rosić, J.. (2019). Konvolucijske neuronske mreže - primena u preciznoj poljoprivredi. in Poljoprivredna tehnika
Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd., 44(1), 1-9.
https://doi.org/10.5937/PoljTeh1901001M

Medojević I, Marković D, Simonović V, Joksimović A, Šakota-Rosić J. Konvolucijske neuronske mreže - primena u preciznoj poljoprivredi. in Poljoprivredna tehnika. 2019;44(1):1-9.
doi:10.5937/PoljTeh1901001M .

Medojević, Ivana, Marković, Dragan, Simonović, Vojislav, Joksimović, Aleksandra, Šakota-Rosić, Jovana, "Konvolucijske neuronske mreže - primena u preciznoj poljoprivredi" in Poljoprivredna tehnika, 44, no. 1 (2019):1-9,
https://doi.org/10.5937/PoljTeh1901001M . .

TY  - JOUR
AU  - Joksimović, Aleksandra
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Medojević, Ivana
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2752
AB  - U inženjerskom projektovanju, problem prostornog rasporeda ima poseban značaj i predmet je istraživanja dugi niz godina. Tu su prisutne dve grupe problema: problem lokacije i problem raspodele elemenata. U domenu industrije problem lokacije je vezan za određivanje najpovoljnijeg mesta (proizvodnog kompleksa) na makro planu. Kada se analizira problem raspodele elemenata, potrebno je pre svega imati uvid u skup potencijalnih površina koje pojedini elementi mogu da zahtevaju u okviru nekog analiziranog sistema. Kako bi se objasnio značaj prostornog rasporeda i ciljevi njegovog uvođenja, potrebno je opisati postojeće konfiguracije linije odabranog proizvoda, na njima prikazati tok materijala, prostorni raspored i stepen automatizacije. Povećanje stepena automatizacije proizvodnih linija može imati samo prednosti, jer se povećava kvalitet gotovog proizvoda, skraćuje proizvodni ciklus i time povećava proizvodnost.
AB  - In engineering design, the problem of layout has a special significance and has been the object of research for many years. There are two groups of problems: the problem of location and the problem of the distribution of elements. In the domain of industry, the location problem is related to determining the most favorable location (production complex) on the macro plan. When analyzing the problem of the distribution of elements, it is first of all necessary to have an insight into the set of potential surfaces that some elements may require within an analyzed system. In order to explain the importance of the spatial configuration and the objectives of its introduction, it is necessary to describe the existing configuration of the line for the production of nougats, to illustrate the flow of materials, the configuration and the degree of automation. Increasing the degree of automation of production lines can only have advantages because it increases the quality of the finished product, shortens the production cycle and therefore increases productivity.
PB  - Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd
T2  - Poljoprivredna tehnika
T1  - Značaj prostornog rasporeda u proizvodnom procesu
T1  - The importance of layout in a production process
EP  - 18
IS  - 4
SP  - 13
VL  - 43
DO  - 10.5937/PoljTeh1804013J
ER  - 

@article{
author = "Joksimović, Aleksandra and Marković, Dragan and Simonović, Vojislav and Medojević, Ivana",
year = "2018",
abstract = "U inženjerskom projektovanju, problem prostornog rasporeda ima poseban značaj i predmet je istraživanja dugi niz godina. Tu su prisutne dve grupe problema: problem lokacije i problem raspodele elemenata. U domenu industrije problem lokacije je vezan za određivanje najpovoljnijeg mesta (proizvodnog kompleksa) na makro planu. Kada se analizira problem raspodele elemenata, potrebno je pre svega imati uvid u skup potencijalnih površina koje pojedini elementi mogu da zahtevaju u okviru nekog analiziranog sistema. Kako bi se objasnio značaj prostornog rasporeda i ciljevi njegovog uvođenja, potrebno je opisati postojeće konfiguracije linije odabranog proizvoda, na njima prikazati tok materijala, prostorni raspored i stepen automatizacije. Povećanje stepena automatizacije proizvodnih linija može imati samo prednosti, jer se povećava kvalitet gotovog proizvoda, skraćuje proizvodni ciklus i time povećava proizvodnost., In engineering design, the problem of layout has a special significance and has been the object of research for many years. There are two groups of problems: the problem of location and the problem of the distribution of elements. In the domain of industry, the location problem is related to determining the most favorable location (production complex) on the macro plan. When analyzing the problem of the distribution of elements, it is first of all necessary to have an insight into the set of potential surfaces that some elements may require within an analyzed system. In order to explain the importance of the spatial configuration and the objectives of its introduction, it is necessary to describe the existing configuration of the line for the production of nougats, to illustrate the flow of materials, the configuration and the degree of automation. Increasing the degree of automation of production lines can only have advantages because it increases the quality of the finished product, shortens the production cycle and therefore increases productivity.",
publisher = "Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd",
journal = "Poljoprivredna tehnika",
title = "Značaj prostornog rasporeda u proizvodnom procesu, The importance of layout in a production process",
pages = "18-13",
number = "4",
volume = "43",
doi = "10.5937/PoljTeh1804013J"
}

Joksimović, A., Marković, D., Simonović, V.,& Medojević, I.. (2018). Značaj prostornog rasporeda u proizvodnom procesu. in Poljoprivredna tehnika
Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd., 43(4), 13-18.
https://doi.org/10.5937/PoljTeh1804013J

Joksimović A, Marković D, Simonović V, Medojević I. Značaj prostornog rasporeda u proizvodnom procesu. in Poljoprivredna tehnika. 2018;43(4):13-18.
doi:10.5937/PoljTeh1804013J .

Joksimović, Aleksandra, Marković, Dragan, Simonović, Vojislav, Medojević, Ivana, "Značaj prostornog rasporeda u proizvodnom procesu" in Poljoprivredna tehnika, 43, no. 4 (2018):13-18,
https://doi.org/10.5937/PoljTeh1804013J . .

TY  - JOUR
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Tasić, Nevena
AU  - Medojević, Ivana
AU  - Joksimović, Aleksandra
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2751
AB  - Pri merenju i analizi lokacijski specifičnog prinosa poznatijeg kao monitoring prinosa u okviru šireg ciklusa precizne poljoprivrede meri se oko 30 parametara od interesa za mapiranje prinosa i šire. Najvažniji parametri uz podrazumevana tri parametra koja definišu lokaciju (latituda, longituda i elevacija) su maseni prinos zrna i vlažnost zrna. Uz ove podatke tokom monitoringa prinosa u ovom radu posmatrani su i temperatura zrna, brzina kretanja kombajna i odstupanje preciznosti lociranja (DOP). Jednostavnim statističkim testiranjem korelacije između ovih parametara utvrđen je nivo međusobnog uticaja, između ostalog i stepen uticaja svih navedenih i posmatranih parametara na prinos, kao odgovor na istraživačko pitanje da li na prinos utiče još neki parametar osim lokacije i fizičko-hemijskih osobina zemljišta na toj lokaciji. Utvrđen je različit stepen uticajnosti, ali nije otkriven ni jedan značajan dodatni uticaj na prinos izračunat posredstvom merenja i makon samog merenja. Za monitoring prinosa pri žetvi semenske pšenice na imanju 'Mladost' PKB, Tabla 2, korišćen je kombajn Class Lexion 450 sa nadograđenim sistemom za monitoring AGL Technology proizvođača. Za statističku analizu korišćena je parametarska metoda korelacije u okviru softverskog paketa SPSS Statistics v.21.
AB  - When measuring and analyzing site-specific yield known as the yield monitoring within a wider cycle of precise agriculture, about 30 parameters are measured from inertia for mapping yields. The most important parameters with the default three parameters that define the location (latitude, longitude and elevation) are mass grain yield and grain moisture. In addition to this data during the yield monitoring, the temperature of the grain, speed of the combine and delution of precision (DOP) were also observed in this paper. By simple statistical testing of the correlation between these parameters, the level of mutual influence was determined, among other things, the degree of influence of all mentioned and observed parameters on yield, in response to the research question whether the yield affects another parameter other than the location and physical and chemical properties of the land at that location . A different degree of influence was determined, but no significant additional impact on the yield was calculated by measuring and measuring the measurement itself. For the monitoring of the yield of seed wheat harvesting on the 'Mladost' PKB, Tabla 2, the Class Lexion 450 harvester with an upgraded system for monitoring the AGL Technology manufacturer was used. For the statistical analysis, the parametric method of correlation within the software package SPSS Statistics v.21 was used.
PB  - Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd
T2  - Poljoprivredna tehnika
T1  - Međusobni uticaj različitih parametara pri monitoringu prinosa
T1  - Mutual impact of different parameters in yield monitoring
EP  - 7
IS  - 4
SP  - 1
VL  - 43
DO  - 10.5937/PoljTeh1804001M
ER  - 

@article{
author = "Marković, Dragan and Simonović, Vojislav and Tasić, Nevena and Medojević, Ivana and Joksimović, Aleksandra",
year = "2018",
abstract = "Pri merenju i analizi lokacijski specifičnog prinosa poznatijeg kao monitoring prinosa u okviru šireg ciklusa precizne poljoprivrede meri se oko 30 parametara od interesa za mapiranje prinosa i šire. Najvažniji parametri uz podrazumevana tri parametra koja definišu lokaciju (latituda, longituda i elevacija) su maseni prinos zrna i vlažnost zrna. Uz ove podatke tokom monitoringa prinosa u ovom radu posmatrani su i temperatura zrna, brzina kretanja kombajna i odstupanje preciznosti lociranja (DOP). Jednostavnim statističkim testiranjem korelacije između ovih parametara utvrđen je nivo međusobnog uticaja, između ostalog i stepen uticaja svih navedenih i posmatranih parametara na prinos, kao odgovor na istraživačko pitanje da li na prinos utiče još neki parametar osim lokacije i fizičko-hemijskih osobina zemljišta na toj lokaciji. Utvrđen je različit stepen uticajnosti, ali nije otkriven ni jedan značajan dodatni uticaj na prinos izračunat posredstvom merenja i makon samog merenja. Za monitoring prinosa pri žetvi semenske pšenice na imanju 'Mladost' PKB, Tabla 2, korišćen je kombajn Class Lexion 450 sa nadograđenim sistemom za monitoring AGL Technology proizvođača. Za statističku analizu korišćena je parametarska metoda korelacije u okviru softverskog paketa SPSS Statistics v.21., When measuring and analyzing site-specific yield known as the yield monitoring within a wider cycle of precise agriculture, about 30 parameters are measured from inertia for mapping yields. The most important parameters with the default three parameters that define the location (latitude, longitude and elevation) are mass grain yield and grain moisture. In addition to this data during the yield monitoring, the temperature of the grain, speed of the combine and delution of precision (DOP) were also observed in this paper. By simple statistical testing of the correlation between these parameters, the level of mutual influence was determined, among other things, the degree of influence of all mentioned and observed parameters on yield, in response to the research question whether the yield affects another parameter other than the location and physical and chemical properties of the land at that location . A different degree of influence was determined, but no significant additional impact on the yield was calculated by measuring and measuring the measurement itself. For the monitoring of the yield of seed wheat harvesting on the 'Mladost' PKB, Tabla 2, the Class Lexion 450 harvester with an upgraded system for monitoring the AGL Technology manufacturer was used. For the statistical analysis, the parametric method of correlation within the software package SPSS Statistics v.21 was used.",
publisher = "Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd",
journal = "Poljoprivredna tehnika",
title = "Međusobni uticaj različitih parametara pri monitoringu prinosa, Mutual impact of different parameters in yield monitoring",
pages = "7-1",
number = "4",
volume = "43",
doi = "10.5937/PoljTeh1804001M"
}

Marković, D., Simonović, V., Tasić, N., Medojević, I.,& Joksimović, A.. (2018). Međusobni uticaj različitih parametara pri monitoringu prinosa. in Poljoprivredna tehnika
Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd., 43(4), 1-7.
https://doi.org/10.5937/PoljTeh1804001M

Marković D, Simonović V, Tasić N, Medojević I, Joksimović A. Međusobni uticaj različitih parametara pri monitoringu prinosa. in Poljoprivredna tehnika. 2018;43(4):1-7.
doi:10.5937/PoljTeh1804001M .

Marković, Dragan, Simonović, Vojislav, Tasić, Nevena, Medojević, Ivana, Joksimović, Aleksandra, "Međusobni uticaj različitih parametara pri monitoringu prinosa" in Poljoprivredna tehnika, 43, no. 4 (2018):1-7,
https://doi.org/10.5937/PoljTeh1804001M . .

TY  - CONF
AU  - Medojević, Ivana
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Joksimović, Aleksandra
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4955
AB  - Machine learning is a learning field that gives computers the ability to learn without explicitly programming them. The two main components of machine learning are data and algorithms. Algorithms process data, train (train) parameters, and in this way acquire the ability to make decision-making decisions by adapting new data. Machine learning is widespread in various 
fields both in agriculture and in the food industry, either in terms of fruits, vegetables, finished products, cereals or meat industry. It takes a special application in machine vision, which allows machines to learn from experience, adapt to new technologies and perform human tasks. Mechanical vision provides an alternative as an automated, non-destructive and cost effective technique for achieving demands and expectations in terms of health food safety prescribed by international standards. 
The industry will also have a great role to play, including full digitalization and automation of production, or the networking of smart digital devices with products, machines, tools, robots and people. It is imperative to create "smart factories" where autonomous cyber-physical systems monitor physical processes and make decisions, and the ultimate goal is to increase productivity and efficiency, and therefore competitiveness in the global market. Deep Learning is an encouraging concept of artificial intelligence due to its ability to extract features from images and high precision in the field of digital image processing and thus the agricultural and food industry in the field of quality control.
PB  - Novi Sad : Faculty of Technical Sciences, Department of Industrial Engineering and Management
C3  - Proceedings of TEAM 2018:  9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad
T1  - Application Of Machine Learning In The Color Sorting Of Agrucultural Products
EP  - 332
SP  - 326
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4955
ER  - 

@conference{
author = "Medojević, Ivana and Marković, Dragan and Simonović, Vojislav and Joksimović, Aleksandra",
year = "2018",
abstract = "Machine learning is a learning field that gives computers the ability to learn without explicitly programming them. The two main components of machine learning are data and algorithms. Algorithms process data, train (train) parameters, and in this way acquire the ability to make decision-making decisions by adapting new data. Machine learning is widespread in various 
fields both in agriculture and in the food industry, either in terms of fruits, vegetables, finished products, cereals or meat industry. It takes a special application in machine vision, which allows machines to learn from experience, adapt to new technologies and perform human tasks. Mechanical vision provides an alternative as an automated, non-destructive and cost effective technique for achieving demands and expectations in terms of health food safety prescribed by international standards. 
The industry will also have a great role to play, including full digitalization and automation of production, or the networking of smart digital devices with products, machines, tools, robots and people. It is imperative to create "smart factories" where autonomous cyber-physical systems monitor physical processes and make decisions, and the ultimate goal is to increase productivity and efficiency, and therefore competitiveness in the global market. Deep Learning is an encouraging concept of artificial intelligence due to its ability to extract features from images and high precision in the field of digital image processing and thus the agricultural and food industry in the field of quality control.",
publisher = "Novi Sad : Faculty of Technical Sciences, Department of Industrial Engineering and Management",
journal = "Proceedings of TEAM 2018:  9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad",
title = "Application Of Machine Learning In The Color Sorting Of Agrucultural Products",
pages = "332-326",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4955"
}

Medojević, I., Marković, D., Simonović, V.,& Joksimović, A.. (2018). Application Of Machine Learning In The Color Sorting Of Agrucultural Products. in Proceedings of TEAM 2018:  9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad
Novi Sad : Faculty of Technical Sciences, Department of Industrial Engineering and Management., 326-332.
https://hdl.handle.net/21.15107/rcub_machinery_4955

Medojević I, Marković D, Simonović V, Joksimović A. Application Of Machine Learning In The Color Sorting Of Agrucultural Products. in Proceedings of TEAM 2018:  9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad. 2018;:326-332.
https://hdl.handle.net/21.15107/rcub_machinery_4955 .

Medojević, Ivana, Marković, Dragan, Simonović, Vojislav, Joksimović, Aleksandra, "Application Of Machine Learning In The Color Sorting Of Agrucultural Products" in Proceedings of TEAM 2018:  9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad (2018):326-332,
https://hdl.handle.net/21.15107/rcub_machinery_4955 .

TY  - JOUR
AU  - Marković, Ivana
AU  - Marković, Dragan
AU  - Ilić, Jelena
AU  - Simonović, Vojislav
AU  - Veg, Emil
AU  - Šiniković, Goran
AU  - Gubeljak, Nenad
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2899
AB  - Food processing industry is moving forward to a full automation of all processes, especially in technological line segments which represent critical control points of food safety. One of these points is color sorting by using machine vision, where inappropriate products are removed. Most important product appearance attributes are color and texture. During food processing, the product is captured by optical devices, mostly color cameras and lasers. The aim of this paper is to investigate new eligibility criteria for digital image segmentation by using only image from the camera. The goal is to describe the texture of the product, based on chosen mathematical measures, and to allow for recognition and then classification according to the predefined range of values in an appropriate class. Images of frozen raspberry were used. Image analysis of color parameters in RGB color space and statistical tests to examine normality of data were carried out. Thereafter, one-way Anova and correlation analysis was performed. Statistically significant difference was found for the values of two indicators: entropy and new criteria were derived from standard deviation, as well as mean values of pixels for every channel, and marked as L. After determining the range of these criteria, a new algorithm was developed for image segmentation written in Matlab. One of the results of applying this algorithm is that more than 80% of good products were recognized.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products
EP  - 1745
IS  - 6
SP  - 1739
VL  - 25
DO  - 10.17559/TV-20171129091703
ER  - 

@article{
author = "Marković, Ivana and Marković, Dragan and Ilić, Jelena and Simonović, Vojislav and Veg, Emil and Šiniković, Goran and Gubeljak, Nenad",
year = "2018",
abstract = "Food processing industry is moving forward to a full automation of all processes, especially in technological line segments which represent critical control points of food safety. One of these points is color sorting by using machine vision, where inappropriate products are removed. Most important product appearance attributes are color and texture. During food processing, the product is captured by optical devices, mostly color cameras and lasers. The aim of this paper is to investigate new eligibility criteria for digital image segmentation by using only image from the camera. The goal is to describe the texture of the product, based on chosen mathematical measures, and to allow for recognition and then classification according to the predefined range of values in an appropriate class. Images of frozen raspberry were used. Image analysis of color parameters in RGB color space and statistical tests to examine normality of data were carried out. Thereafter, one-way Anova and correlation analysis was performed. Statistically significant difference was found for the values of two indicators: entropy and new criteria were derived from standard deviation, as well as mean values of pixels for every channel, and marked as L. After determining the range of these criteria, a new algorithm was developed for image segmentation written in Matlab. One of the results of applying this algorithm is that more than 80% of good products were recognized.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products",
pages = "1745-1739",
number = "6",
volume = "25",
doi = "10.17559/TV-20171129091703"
}

Marković, I., Marković, D., Ilić, J., Simonović, V., Veg, E., Šiniković, G.,& Gubeljak, N.. (2018). Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 25(6), 1739-1745.
https://doi.org/10.17559/TV-20171129091703

Marković I, Marković D, Ilić J, Simonović V, Veg E, Šiniković G, Gubeljak N. Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products. in Tehnički vjesnik. 2018;25(6):1739-1745.
doi:10.17559/TV-20171129091703 .

Marković, Ivana, Marković, Dragan, Ilić, Jelena, Simonović, Vojislav, Veg, Emil, Šiniković, Goran, Gubeljak, Nenad, "Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products" in Tehnički vjesnik, 25, no. 6 (2018):1739-1745,
https://doi.org/10.17559/TV-20171129091703 . .

TY  - CONF
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Marković, Ivana
AU  - Mladenović, Goran
AU  - Ortopan, Mateja
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4953
AB  - This paper presents field scouting of corn in order to determine the content 
of nitrogen in the green parts of the plants. The aim was to measure the vegetative 
index using two optical sensors by OptRx AGL Technology. The sensors are positioned 
at a distance of 3.5 m, individually observing five rows of corn. The sensors are 
designed and constructed to allow sensors to be moved in altitudes relative to the 
ground and the green part of the plant, adjusting is manual, so that the height of the 
sensor varies from 50 to 70 cm above the plants, or at 5 different distances for 5 cm 
shifts. The speed of movement of the tractor also varied. The measured vegetative index 
of the plants is correlated with the height of the sensor. It was noticed that the 
correlation exists, but that it does not significantly affect the mapping of nitrogen 
content.
PB  - Belgrade : Faculty of Agriculture, Department for Agricultural Engineering
C3  - The Third International Symposium on  Agricultural Engineering  ISAE-2017,  20th-21st October 2017, Belgrade
T1  - Impact Of The Sensor High In The Measurement Of The Corn Vegetative Index
EP  - V-7
SP  - V-1
VL  - 3
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4953
ER  - 

@conference{
author = "Simonović, Vojislav and Marković, Dragan and Marković, Ivana and Mladenović, Goran and Ortopan, Mateja",
year = "2017",
abstract = "This paper presents field scouting of corn in order to determine the content 
of nitrogen in the green parts of the plants. The aim was to measure the vegetative 
index using two optical sensors by OptRx AGL Technology. The sensors are positioned 
at a distance of 3.5 m, individually observing five rows of corn. The sensors are 
designed and constructed to allow sensors to be moved in altitudes relative to the 
ground and the green part of the plant, adjusting is manual, so that the height of the 
sensor varies from 50 to 70 cm above the plants, or at 5 different distances for 5 cm 
shifts. The speed of movement of the tractor also varied. The measured vegetative index 
of the plants is correlated with the height of the sensor. It was noticed that the 
correlation exists, but that it does not significantly affect the mapping of nitrogen 
content.",
publisher = "Belgrade : Faculty of Agriculture, Department for Agricultural Engineering",
journal = "The Third International Symposium on  Agricultural Engineering  ISAE-2017,  20th-21st October 2017, Belgrade",
title = "Impact Of The Sensor High In The Measurement Of The Corn Vegetative Index",
pages = "V-7-V-1",
volume = "3",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4953"
}

Simonović, V., Marković, D., Marković, I., Mladenović, G.,& Ortopan, M.. (2017). Impact Of The Sensor High In The Measurement Of The Corn Vegetative Index. in The Third International Symposium on  Agricultural Engineering  ISAE-2017,  20th-21st October 2017, Belgrade
Belgrade : Faculty of Agriculture, Department for Agricultural Engineering., 3, V-1-V-7.
https://hdl.handle.net/21.15107/rcub_machinery_4953

Simonović V, Marković D, Marković I, Mladenović G, Ortopan M. Impact Of The Sensor High In The Measurement Of The Corn Vegetative Index. in The Third International Symposium on  Agricultural Engineering  ISAE-2017,  20th-21st October 2017, Belgrade. 2017;3:V-1-V-7.
https://hdl.handle.net/21.15107/rcub_machinery_4953 .

Simonović, Vojislav, Marković, Dragan, Marković, Ivana, Mladenović, Goran, Ortopan, Mateja, "Impact Of The Sensor High In The Measurement Of The Corn Vegetative Index" in The Third International Symposium on  Agricultural Engineering  ISAE-2017,  20th-21st October 2017, Belgrade, 3 (2017):V-1-V-7,
https://hdl.handle.net/21.15107/rcub_machinery_4953 .

TY  - CONF
AU  - Stevanović, Snežana M.
AU  - Kosi, Franc
AU  - Marković, Dragan
AU  - Milovančević, Uroš
AU  - Stojković, Milena
AU  - Simonović, Vojislav
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5670
AB  - Berries are a large and economically very important group of fruit. Serbia is not at the top in the  production of this fruit, but is at the top in exported quantities of berries.  Almost the total amount  of berries are exported i n frozen condition. The aim of this study was to analyze the influence of  freezing process on the quality and sensory characteristics of berry fruit. Investigation were carried  out with the strawberry, raspberry and blackberry fruits. Within the sensory qu ality analysis,  special emphasis is placed on maintaining the strength and color of these delicate fruits. As quality  parameters, content of total sugar and acid, dry matter content and pH value s of berry fruits were  analysed. The content of vitamin C in t he berries, before and after process of freezing, were  determined. The obtained results showed that there was  no significant changes in chemical quality  parameters. Somewhat larger changes was  in sensory characteristics, as determined by the loss of  streng th and consistency, especially in strawberry fruit.
PB  - Beograd: SMEITS
C3  - Zbornik 45. Međunarodnog kongresa o KGH
T1  - THE EFFECT OF FREEZING ON THE QUALITY OF BERRY FRUITS
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5670
ER  - 

@conference{
author = "Stevanović, Snežana M. and Kosi, Franc and Marković, Dragan and Milovančević, Uroš and Stojković, Milena and Simonović, Vojislav",
year = "2017",
abstract = "Berries are a large and economically very important group of fruit. Serbia is not at the top in the  production of this fruit, but is at the top in exported quantities of berries.  Almost the total amount  of berries are exported i n frozen condition. The aim of this study was to analyze the influence of  freezing process on the quality and sensory characteristics of berry fruit. Investigation were carried  out with the strawberry, raspberry and blackberry fruits. Within the sensory qu ality analysis,  special emphasis is placed on maintaining the strength and color of these delicate fruits. As quality  parameters, content of total sugar and acid, dry matter content and pH value s of berry fruits were  analysed. The content of vitamin C in t he berries, before and after process of freezing, were  determined. The obtained results showed that there was  no significant changes in chemical quality  parameters. Somewhat larger changes was  in sensory characteristics, as determined by the loss of  streng th and consistency, especially in strawberry fruit.",
publisher = "Beograd: SMEITS",
journal = "Zbornik 45. Međunarodnog kongresa o KGH",
title = "THE EFFECT OF FREEZING ON THE QUALITY OF BERRY FRUITS",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5670"
}

Stevanović, S. M., Kosi, F., Marković, D., Milovančević, U., Stojković, M.,& Simonović, V.. (2017). THE EFFECT OF FREEZING ON THE QUALITY OF BERRY FRUITS. in Zbornik 45. Međunarodnog kongresa o KGH
Beograd: SMEITS..
https://hdl.handle.net/21.15107/rcub_machinery_5670

Stevanović SM, Kosi F, Marković D, Milovančević U, Stojković M, Simonović V. THE EFFECT OF FREEZING ON THE QUALITY OF BERRY FRUITS. in Zbornik 45. Međunarodnog kongresa o KGH. 2017;.
https://hdl.handle.net/21.15107/rcub_machinery_5670 .

Stevanović, Snežana M., Kosi, Franc, Marković, Dragan, Milovančević, Uroš, Stojković, Milena, Simonović, Vojislav, "THE EFFECT OF FREEZING ON THE QUALITY OF BERRY FRUITS" in Zbornik 45. Međunarodnog kongresa o KGH (2017),
https://hdl.handle.net/21.15107/rcub_machinery_5670 .

TY  - JOUR
AU  - Stevanović, Snežana M.
AU  - Radojević, Rade
AU  - Marković, Dragan
AU  - Otović, Milena
AU  - Milovančević, Uroš
AU  - Simonović, Vojislav
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5541
AB  - Fruit has a significant place in the total value of agricultural production in Serbia and an increasing amount of fresh fruits has been exported recently. For a more significant placement of fresh food on foreign markets, it is necessary to provide quality protection during transport and storage. Postharvest losses of fresh fruits and vegetables are very high, especially in undeveloped countries. Therefore, modern postharvest technologies, such as modified and controlled atmosphere, are increasingly used to prolong storage life of fresh fruits. ULO (Ultra Low Oxygen) controlled atmosphere has suppressed all other solutions in terms of quality and prolonged storage life (up to 300 days) of apples. In this paper, the optimum conditions and recommended storage regimes for different apple varieties in ULO atmosphere have been reported.
PB  - Beograd: SMEITS
T2  - KGH. Klimatizacija, grejanje, hlađenje
T1  - Storing apples in ULO atmosphere controlled cold storage
IS  - 4
VL  - 46
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5541
ER  - 

@article{
author = "Stevanović, Snežana M. and Radojević, Rade and Marković, Dragan and Otović, Milena and Milovančević, Uroš and Simonović, Vojislav",
year = "2017",
abstract = "Fruit has a significant place in the total value of agricultural production in Serbia and an increasing amount of fresh fruits has been exported recently. For a more significant placement of fresh food on foreign markets, it is necessary to provide quality protection during transport and storage. Postharvest losses of fresh fruits and vegetables are very high, especially in undeveloped countries. Therefore, modern postharvest technologies, such as modified and controlled atmosphere, are increasingly used to prolong storage life of fresh fruits. ULO (Ultra Low Oxygen) controlled atmosphere has suppressed all other solutions in terms of quality and prolonged storage life (up to 300 days) of apples. In this paper, the optimum conditions and recommended storage regimes for different apple varieties in ULO atmosphere have been reported.",
publisher = "Beograd: SMEITS",
journal = "KGH. Klimatizacija, grejanje, hlađenje",
title = "Storing apples in ULO atmosphere controlled cold storage",
number = "4",
volume = "46",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5541"
}

Stevanović, S. M., Radojević, R., Marković, D., Otović, M., Milovančević, U.,& Simonović, V.. (2017). Storing apples in ULO atmosphere controlled cold storage. in KGH. Klimatizacija, grejanje, hlađenje
Beograd: SMEITS., 46(4).
https://hdl.handle.net/21.15107/rcub_machinery_5541

Stevanović SM, Radojević R, Marković D, Otović M, Milovančević U, Simonović V. Storing apples in ULO atmosphere controlled cold storage. in KGH. Klimatizacija, grejanje, hlađenje. 2017;46(4).
https://hdl.handle.net/21.15107/rcub_machinery_5541 .

Stevanović, Snežana M., Radojević, Rade, Marković, Dragan, Otović, Milena, Milovančević, Uroš, Simonović, Vojislav, "Storing apples in ULO atmosphere controlled cold storage" in KGH. Klimatizacija, grejanje, hlađenje, 46, no. 4 (2017),
https://hdl.handle.net/21.15107/rcub_machinery_5541 .

TY  - JOUR
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Marković, Ivana
AU  - Kirin, Snežana
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2310
AB  - The paper analyzes the impact of sensor readings of dry grain mass yield of wheat, barley and rapeseed on combine speed during harvesting on three plots. The combine was fitted with site-specific yield monitoring sensors. This paper displays detailed tables of statistical procedure carried out for wheat in the analysis of combine speed, whereas final results for barley and rapeseed are itemized. After harvest, the three plots were divided into three groups each according to yield levels: low, medium and high, respectively. On the rapeseed plot, the Kruskal-Wallis H test did not reveal statistically significant difference in combine speed between the plot zones that belong to different yield-level groups, chi(2)(2, N = 2187) = 4,570, p = 0,102. On the basis of mean values for group ranks, the highest combine speed on wheat and barley plots has been found in the medium-yield-level group. Therefore, subsequent analysis of differences was conducted between the groups using Mann-Whitney U test. Combine speed during wheat harvest did not differ significantly in the low- and high-yield-level zones of the plot, Z = -1,213 and N = 3453, p = 0,225, while comparison between speeds within the medium-yield-level group to the other two groups exhibited statistically significant difference, effect size being approx. 0,1. During barley harvest, combine speeds differ statistically significantly when all three groups are compared for low and high impact according to Cohen's criterion based on effect size.
PB  - Strojarski Facultet
T2  - Tehnički vjesnik
T1  - Impact of sensor readings of grain mass yield on combine speed
EP  - 162
IS  - 1
SP  - 157
VL  - 23
DO  - 10.17559/TV-20141019192801
ER  - 

@article{
author = "Simonović, Vojislav and Marković, Dragan and Marković, Ivana and Kirin, Snežana",
year = "2016",
abstract = "The paper analyzes the impact of sensor readings of dry grain mass yield of wheat, barley and rapeseed on combine speed during harvesting on three plots. The combine was fitted with site-specific yield monitoring sensors. This paper displays detailed tables of statistical procedure carried out for wheat in the analysis of combine speed, whereas final results for barley and rapeseed are itemized. After harvest, the three plots were divided into three groups each according to yield levels: low, medium and high, respectively. On the rapeseed plot, the Kruskal-Wallis H test did not reveal statistically significant difference in combine speed between the plot zones that belong to different yield-level groups, chi(2)(2, N = 2187) = 4,570, p = 0,102. On the basis of mean values for group ranks, the highest combine speed on wheat and barley plots has been found in the medium-yield-level group. Therefore, subsequent analysis of differences was conducted between the groups using Mann-Whitney U test. Combine speed during wheat harvest did not differ significantly in the low- and high-yield-level zones of the plot, Z = -1,213 and N = 3453, p = 0,225, while comparison between speeds within the medium-yield-level group to the other two groups exhibited statistically significant difference, effect size being approx. 0,1. During barley harvest, combine speeds differ statistically significantly when all three groups are compared for low and high impact according to Cohen's criterion based on effect size.",
publisher = "Strojarski Facultet",
journal = "Tehnički vjesnik",
title = "Impact of sensor readings of grain mass yield on combine speed",
pages = "162-157",
number = "1",
volume = "23",
doi = "10.17559/TV-20141019192801"
}

Simonović, V., Marković, D., Marković, I.,& Kirin, S.. (2016). Impact of sensor readings of grain mass yield on combine speed. in Tehnički vjesnik
Strojarski Facultet., 23(1), 157-162.
https://doi.org/10.17559/TV-20141019192801

Simonović V, Marković D, Marković I, Kirin S. Impact of sensor readings of grain mass yield on combine speed. in Tehnički vjesnik. 2016;23(1):157-162.
doi:10.17559/TV-20141019192801 .

Simonović, Vojislav, Marković, Dragan, Marković, Ivana, Kirin, Snežana, "Impact of sensor readings of grain mass yield on combine speed" in Tehnički vjesnik, 23, no. 1 (2016):157-162,
https://doi.org/10.17559/TV-20141019192801 . .

TY  - CONF
AU  - Oljača, Mićo
AU  - Gligorević, Kosta
AU  - Pajić, Miloš
AU  - Zlatanović, Ivan
AU  - Dražić, Milan
AU  - Radojičić, Dušan
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Marković, Ivana
AU  - Đokić, Milorad
AU  - Dimitrovski, Zoran
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5368
AB  - The paper analyzes the possibility and necessity of applying special types of robots 
(mini unmanned aircraft with different constructions with the UAV tag) in agriculture 
(agrodrone). Year 2015 was declared (Fortune Magazine, 2016) as the year of increase 
and widespread application of drone aircraft in all areas of human activity, particularly 
in agriculture and forestry (75% usage). This is important for large areas of farms, whe re the mini aircraft have numerous useful functions and a very cost-effective application.
Agro drone flight (flight time of 45 min, and the flight altitude of 1 m to 120 m) 
can be used to analyze more functional parameters on about 120 ha of crops, and all 
data can be sent to multiple locations (Audit Information Centre, mobile phones users 
and the like). Today some types of agro drones have a relative price of 2000 USD, if 
the users (farmers) assemble the drone themselves after purchasing it in parts. However 
the price of these mini aircraft can be up to 250,000 US$ for specific models used by 
the military, when equipped with special infrared cameras, sensors and HD video tech nology, which is controlled by an operator (pilot) from the surface. Usage of agro 
drones may be expensive at first, but research shows that many data collected (for 
example, identifying the species of insects and plant diseases, irrigation, yield asse ssment or monitoring the movement of animals on farms), help farmers to regain inve sted funds, sometimes for only one year. Farmers can use these aircraft in order to 
establish a rational and precise use of pesticides, herbicides, mineral fertilizers, all 
based on data obtained from the agro drone, used for precision agriculture systems. In 
this sense, the farmers have significant financial benefits, since one drone flight has an 
operational cost of a water bottle, and the data collected has great value. There are 
anecdotes about farmers in the US who first buy an agro drone and afterwards a hunting 
dog. The paper presents some structures of agro drones as well as ideas for their possi ble future application in agriculture of the R. of Serbia.
PB  - University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering
C3  - 18th Scientific conference „Current problems and tendecies in agricultural engineering“, Proceedings
T1  - Application of drone in agriculture
EP  - 101
SP  - 89
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5368
ER  - 

@conference{
author = "Oljača, Mićo and Gligorević, Kosta and Pajić, Miloš and Zlatanović, Ivan and Dražić, Milan and Radojičić, Dušan and Marković, Dragan and Simonović, Vojislav and Marković, Ivana and Đokić, Milorad and Dimitrovski, Zoran",
year = "2016",
abstract = "The paper analyzes the possibility and necessity of applying special types of robots 
(mini unmanned aircraft with different constructions with the UAV tag) in agriculture 
(agrodrone). Year 2015 was declared (Fortune Magazine, 2016) as the year of increase 
and widespread application of drone aircraft in all areas of human activity, particularly 
in agriculture and forestry (75% usage). This is important for large areas of farms, whe re the mini aircraft have numerous useful functions and a very cost-effective application.
Agro drone flight (flight time of 45 min, and the flight altitude of 1 m to 120 m) 
can be used to analyze more functional parameters on about 120 ha of crops, and all 
data can be sent to multiple locations (Audit Information Centre, mobile phones users 
and the like). Today some types of agro drones have a relative price of 2000 USD, if 
the users (farmers) assemble the drone themselves after purchasing it in parts. However 
the price of these mini aircraft can be up to 250,000 US$ for specific models used by 
the military, when equipped with special infrared cameras, sensors and HD video tech nology, which is controlled by an operator (pilot) from the surface. Usage of agro 
drones may be expensive at first, but research shows that many data collected (for 
example, identifying the species of insects and plant diseases, irrigation, yield asse ssment or monitoring the movement of animals on farms), help farmers to regain inve sted funds, sometimes for only one year. Farmers can use these aircraft in order to 
establish a rational and precise use of pesticides, herbicides, mineral fertilizers, all 
based on data obtained from the agro drone, used for precision agriculture systems. In 
this sense, the farmers have significant financial benefits, since one drone flight has an 
operational cost of a water bottle, and the data collected has great value. There are 
anecdotes about farmers in the US who first buy an agro drone and afterwards a hunting 
dog. The paper presents some structures of agro drones as well as ideas for their possi ble future application in agriculture of the R. of Serbia.",
publisher = "University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering",
journal = "18th Scientific conference „Current problems and tendecies in agricultural engineering“, Proceedings",
title = "Application of drone in agriculture",
pages = "101-89",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5368"
}

Oljača, M., Gligorević, K., Pajić, M., Zlatanović, I., Dražić, M., Radojičić, D., Marković, D., Simonović, V., Marković, I., Đokić, M.,& Dimitrovski, Z.. (2016). Application of drone in agriculture. in 18th Scientific conference „Current problems and tendecies in agricultural engineering“, Proceedings
University of Belgrade, Faculty of Agriculture, The Institute for Agricultural Engineering., 89-101.
https://hdl.handle.net/21.15107/rcub_machinery_5368

Oljača M, Gligorević K, Pajić M, Zlatanović I, Dražić M, Radojičić D, Marković D, Simonović V, Marković I, Đokić M, Dimitrovski Z. Application of drone in agriculture. in 18th Scientific conference „Current problems and tendecies in agricultural engineering“, Proceedings. 2016;:89-101.
https://hdl.handle.net/21.15107/rcub_machinery_5368 .

Oljača, Mićo, Gligorević, Kosta, Pajić, Miloš, Zlatanović, Ivan, Dražić, Milan, Radojičić, Dušan, Marković, Dragan, Simonović, Vojislav, Marković, Ivana, Đokić, Milorad, Dimitrovski, Zoran, "Application of drone in agriculture" in 18th Scientific conference „Current problems and tendecies in agricultural engineering“, Proceedings (2016):89-101,
https://hdl.handle.net/21.15107/rcub_machinery_5368 .

TY  - JOUR
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Marković, Ivana
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2338
AB  - This paper analyzes the differences in mass yield of moist rapeseed grain for six different passes of combine harvester along the plot. The Mann-Whitney U test and Z-statistic are used for analysis needs. For harvest pass 1 and pass 4 the Z-value is only 0,211, whereas the statistical significance level to confirm this finding is 0,8333, therefore there is not statistically significant difference between yield levels in mentioned passes. It is established that there are another three pairs of similar harvest passes, of which two are adjacent, while all other passes exhibit statistical difference with respect to the yield. The approximate value of the effect size r indicator is applied for all passes, where a statistically significant difference turned out to exist between them. The highest difference is noted between pass 2 and pass 3, the effect size r value amounting to 0,464, which can be considered a large effect size according to Cohen's criterion. This paper suggests extending the current routine implementation of yield analysis to an automated post-processing system.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Testing of site-specific yield in different harvest passes
EP  - 503
IS  - 2
SP  - 499
VL  - 23
DO  - 10.17559/TV-20140930145702
ER  - 

@article{
author = "Simonović, Vojislav and Marković, Dragan and Marković, Ivana",
year = "2016",
abstract = "This paper analyzes the differences in mass yield of moist rapeseed grain for six different passes of combine harvester along the plot. The Mann-Whitney U test and Z-statistic are used for analysis needs. For harvest pass 1 and pass 4 the Z-value is only 0,211, whereas the statistical significance level to confirm this finding is 0,8333, therefore there is not statistically significant difference between yield levels in mentioned passes. It is established that there are another three pairs of similar harvest passes, of which two are adjacent, while all other passes exhibit statistical difference with respect to the yield. The approximate value of the effect size r indicator is applied for all passes, where a statistically significant difference turned out to exist between them. The highest difference is noted between pass 2 and pass 3, the effect size r value amounting to 0,464, which can be considered a large effect size according to Cohen's criterion. This paper suggests extending the current routine implementation of yield analysis to an automated post-processing system.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Testing of site-specific yield in different harvest passes",
pages = "503-499",
number = "2",
volume = "23",
doi = "10.17559/TV-20140930145702"
}

Simonović, V., Marković, D.,& Marković, I.. (2016). Testing of site-specific yield in different harvest passes. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 23(2), 499-503.
https://doi.org/10.17559/TV-20140930145702

Simonović V, Marković D, Marković I. Testing of site-specific yield in different harvest passes. in Tehnički vjesnik. 2016;23(2):499-503.
doi:10.17559/TV-20140930145702 .

Simonović, Vojislav, Marković, Dragan, Marković, Ivana, "Testing of site-specific yield in different harvest passes" in Tehnički vjesnik, 23, no. 2 (2016):499-503,
https://doi.org/10.17559/TV-20140930145702 . .

TY  - CONF
AU  - Marković, Ivana
AU  - Ilić, Jelena
AU  - Marković, Dragan
AU  - Simonović, Vojislav
AU  - Dejanović, Sanja
AU  - Golubović, Snežana
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4651
AB  - Compared to manual inspection, which is inconsistent and subjective, sorters are able to assure product quality and food safety by more effectively identifying and removing defects and foreign material, while at the same time reducing labor costs and improving operating efficiencies. In this paper we analyzed color of the green beans in the way to find certain parameter which defined good color, acceptable for consumers because homogeneity and appearance have a significant impact on the consumer's decision and to see does and how different lighting effect on the color. The color recorded in the image is not an inherent value of observed object, because it is also influenced by the illumination properties (illuminance, spectral intensity distribution, color rendering index), as well as geometry and surfaces of neighboring objects. The CIE La*b* color space gave good results in a way that it define better the ranges of parameter a*.
PB  - Faculty of Mechanical Engineering, University of Belgrade
C3  - Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia
T1  - A simple digital imaging method for the analysis of the color of food surfaces
EP  - 295
SP  - 292
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4651
ER  - 

@conference{
author = "Marković, Ivana and Ilić, Jelena and Marković, Dragan and Simonović, Vojislav and Dejanović, Sanja and Golubović, Snežana",
year = "2015",
abstract = "Compared to manual inspection, which is inconsistent and subjective, sorters are able to assure product quality and food safety by more effectively identifying and removing defects and foreign material, while at the same time reducing labor costs and improving operating efficiencies. In this paper we analyzed color of the green beans in the way to find certain parameter which defined good color, acceptable for consumers because homogeneity and appearance have a significant impact on the consumer's decision and to see does and how different lighting effect on the color. The color recorded in the image is not an inherent value of observed object, because it is also influenced by the illumination properties (illuminance, spectral intensity distribution, color rendering index), as well as geometry and surfaces of neighboring objects. The CIE La*b* color space gave good results in a way that it define better the ranges of parameter a*.",
publisher = "Faculty of Mechanical Engineering, University of Belgrade",
journal = "Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia",
title = "A simple digital imaging method for the analysis of the color of food surfaces",
pages = "295-292",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4651"
}

Marković, I., Ilić, J., Marković, D., Simonović, V., Dejanović, S.,& Golubović, S.. (2015). A simple digital imaging method for the analysis of the color of food surfaces. in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia
Faculty of Mechanical Engineering, University of Belgrade., 292-295.
https://hdl.handle.net/21.15107/rcub_machinery_4651

Marković I, Ilić J, Marković D, Simonović V, Dejanović S, Golubović S. A simple digital imaging method for the analysis of the color of food surfaces. in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia. 2015;:292-295.
https://hdl.handle.net/21.15107/rcub_machinery_4651 .

Marković, Ivana, Ilić, Jelena, Marković, Dragan, Simonović, Vojislav, Dejanović, Sanja, Golubović, Snežana, "A simple digital imaging method for the analysis of the color of food surfaces" in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia (2015):292-295,
https://hdl.handle.net/21.15107/rcub_machinery_4651 .

TY  - JOUR
AU  - Simonović, Vojislav
AU  - Marković, Dragan
AU  - Mladenović, Nikola
AU  - Marković, Ivana
AU  - Čebela, Žarko
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2062
AB  - U ovom radu analizirana je uticaj prinosa tritikala na brzinu kretanja kombajna tokom žetve. Sistem za merenje lokacijski specifičnog prinosa postavljen je na kombajn širine zahvata 6 metara. Nakon žetve prinos je podeljen u tri grupe, kao mali, srednji i velik prinos, i potom pomoću Kruskal-Volisovog H testa analizirana je brzina za svaku grupu prinosa duž parcele. Ustanovljeno je da se na analiziranoj parceli brzine razlikuju i na osnovu srednjih vrednosti rangova grupa zaključeno je da brzina opada sa smanjenjem prinosa, pa se pristupilo naknadnoj analizi razlike među grupama pomoću Man-Vitnijevog U testa. Brzine kretanja kombajna tokom žetve tritikala na analiziranoj parceli razlikuju se statistički značajno pri poređenju sve tri grupe, i to sa malim i srednjim uticajem prema Koenovom kriterijumu. PR Projekat Ministarstva nauke Republike Srbije, br. TR 35043.
AB  - This paper analyzes the effect of triticale yield on the speed of the combine during harvest. Monitoring system for the site-specific yield is mounted to harvester with 6 meters wide header. After harvest, the yield is divided into three groups, as well as small, medium and large yield, and then using the Kruskal-Wallis H test analyzed the rate of speed for each group along the plot. It was found for analyzed field that the speeds different and based on the average value ranges group concluded that the speed decreases with increasing yield, and access the subsequent analysis of the differences between the groups using the Mann-Whitney U test. The speed of the combine during harvest triticale in the analyzed plot differ significantly when comparing the three groups, and small and medium impact to Cohen's criteria based on effect size.
PB  - Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd
T2  - Poljoprivredna tehnika
T1  - Uticaj masenog prinosa tritikala na brzinu žetve
T1  - Impact of triticale mass yield on harvest speed
EP  - 18
IS  - 1
SP  - 11
VL  - 40
UR  - https://hdl.handle.net/21.15107/rcub_machinery_2062
ER  - 

@article{
author = "Simonović, Vojislav and Marković, Dragan and Mladenović, Nikola and Marković, Ivana and Čebela, Žarko",
year = "2015",
abstract = "U ovom radu analizirana je uticaj prinosa tritikala na brzinu kretanja kombajna tokom žetve. Sistem za merenje lokacijski specifičnog prinosa postavljen je na kombajn širine zahvata 6 metara. Nakon žetve prinos je podeljen u tri grupe, kao mali, srednji i velik prinos, i potom pomoću Kruskal-Volisovog H testa analizirana je brzina za svaku grupu prinosa duž parcele. Ustanovljeno je da se na analiziranoj parceli brzine razlikuju i na osnovu srednjih vrednosti rangova grupa zaključeno je da brzina opada sa smanjenjem prinosa, pa se pristupilo naknadnoj analizi razlike među grupama pomoću Man-Vitnijevog U testa. Brzine kretanja kombajna tokom žetve tritikala na analiziranoj parceli razlikuju se statistički značajno pri poređenju sve tri grupe, i to sa malim i srednjim uticajem prema Koenovom kriterijumu. PR Projekat Ministarstva nauke Republike Srbije, br. TR 35043., This paper analyzes the effect of triticale yield on the speed of the combine during harvest. Monitoring system for the site-specific yield is mounted to harvester with 6 meters wide header. After harvest, the yield is divided into three groups, as well as small, medium and large yield, and then using the Kruskal-Wallis H test analyzed the rate of speed for each group along the plot. It was found for analyzed field that the speeds different and based on the average value ranges group concluded that the speed decreases with increasing yield, and access the subsequent analysis of the differences between the groups using the Mann-Whitney U test. The speed of the combine during harvest triticale in the analyzed plot differ significantly when comparing the three groups, and small and medium impact to Cohen's criteria based on effect size.",
publisher = "Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd",
journal = "Poljoprivredna tehnika",
title = "Uticaj masenog prinosa tritikala na brzinu žetve, Impact of triticale mass yield on harvest speed",
pages = "18-11",
number = "1",
volume = "40",
url = "https://hdl.handle.net/21.15107/rcub_machinery_2062"
}

Simonović, V., Marković, D., Mladenović, N., Marković, I.,& Čebela, Ž.. (2015). Uticaj masenog prinosa tritikala na brzinu žetve. in Poljoprivredna tehnika
Univerzitet u Beogradu - Poljoprivredni fakultet - Institut za poljoprivrednu tehniku, Beograd., 40(1), 11-18.
https://hdl.handle.net/21.15107/rcub_machinery_2062

Simonović V, Marković D, Mladenović N, Marković I, Čebela Ž. Uticaj masenog prinosa tritikala na brzinu žetve. in Poljoprivredna tehnika. 2015;40(1):11-18.
https://hdl.handle.net/21.15107/rcub_machinery_2062 .

Simonović, Vojislav, Marković, Dragan, Mladenović, Nikola, Marković, Ivana, Čebela, Žarko, "Uticaj masenog prinosa tritikala na brzinu žetve" in Poljoprivredna tehnika, 40, no. 1 (2015):11-18,
https://hdl.handle.net/21.15107/rcub_machinery_2062 .