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dc.contributorKatić, Vladimir
dc.creatorMedojević, Ivana
dc.creatorIlić, Jelena
dc.date.accessioned2023-11-24T10:14:50Z
dc.date.available2023-11-24T10:14:50Z
dc.date.issued2023
dc.identifier.isbn978-86-7466-969-3 (АМ)
dc.identifier.urihttps://www.etran.rs/2023/E_ZBORNIK_ETRAN_2023/ETRAN23_RADOVI/SSDI1.2.pdf
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/7177
dc.description.abstractIn the contemporary food processing industry, there is a tendency to automatize sorting process along with minimizing the waist. Therefore, the efforts to improve large – capacity industrial systems for the sorting of agricultural products are constant and go from various image processing techniques towards the area of machine learning. Among deep learning techniques, You Only Look Once (YOLO) algorithm offers the potential of recognizing and determining the location of noncompliant products. In this paper, the study that evaluates the performance of YOLOv3 algorithm in sorting of raspberries is represented, together with a logical solution model of a centralized color sorting system and developed web application.sr
dc.language.isoensr
dc.publisherDruštvo za ETRAN: Akademska misao, Beogradsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35043/RS//sr
dc.rightsopenAccesssr
dc.sourceЗборник радова LXVII конференције ЕТРАН, Источно Сарајево, 5 ‐ 8. јун 2023.sr
dc.subjectagricultural processingsr
dc.subjectcolor sortingsr
dc.subjectdeep learningsr
dc.subjectYOLOsr
dc.titleThe Prospects of YOLO Algorithm Applicaion in the Sorting of Agricultural Productssr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.citation.epageSSDI1.2 - 4
dc.citation.rankM63
dc.citation.spageSSDI1.2 - 1
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/19412/SSDI1.2.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_7177
dc.type.versionpublishedVersionsr


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