A computer vision approach for classifying the degree of freshness in fruits and vegetables to reduce food waste

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dc.contributor.authorSallam, Hamza
dc.contributor.authorGhizawi, Obadah Nidal
dc.contributor.authorDerrija, Abdulmoez S.
dc.contributor.authorSönmez, Elena Battini
dc.date.accessioned2026-04-04T18:48:34Z
dc.date.available2026-04-04T18:48:34Z
dc.date.issued2024
dc.description2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562
dc.description.abstractThe level of freshness of fruits and vegetables must be constantly monitored to reduce food waste and maximize its nutritional value. Existing approaches to this problem either consider a binary classification problem, where fruits and vegetables are classified into the two classes of”fresh” or”rotten”, or a three-class problem, with”fresh”, ”medium”, and”rotten” classes. This work challenges the three-class issue achieving an initial accuracy of 82%, using the VGG16 deep learning model, and 84%, with YOLO v5. After going through many experiments, we reached 94.58% test accuracy with VGG16, improving the current state-of-the-art performance by 11 percentage points. A detailed description of the experiments and the used algorithms, together with their hyper-parameters, is given in this paper to facilitate code reproduction. © 2024 IEEE.
dc.description.sponsorshipIEEE SMC; IEEE Turkiye Section
dc.identifier.doi10.1109/ASYU62119.2024.10757112
dc.identifier.isbn979-835037943-3
dc.identifier.scopus2-s2.0-85213313603
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU62119.2024.10757112
dc.identifier.urihttps://hdl.handle.net/11411/10229
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260402
dc.subjectDeep Learning
dc.subjectDegree Of Freshness
dc.subjectFood Waste
dc.subjectFruits And Vegetables Classification
dc.subjectVgg16
dc.titleA computer vision approach for classifying the degree of freshness in fruits and vegetables to reduce food waste
dc.typeConference Paper

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