Application Of Machine Learning In The Color Sorting Of Agrucultural Products
Само за регистроване кориснике
2018
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
machine learning / inspection / quality / agricultureИзвор:
Proceedings of TEAM 2018: 9th International Scientific and Expert Conference, 10-12th October 2018, Novi Sad, 2018, 326-332Издавач:
- Novi Sad : Faculty of Technical Sciences, Department of Industrial Engineering and Management
Финансирање / пројекти:
- Истраживање и развој опреме и система за индустријску производњу, складиштење и прераду поврћа и воћа (RS-MESTD-Technological Development (TD or TR)-35043)
Колекције
Институција/група
Mašinski fakultetTY - 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 .