Apple grading using fuzzy logic

dc.contributor.authorKavdir, Ismail
dc.contributor.authorGuyer, Daniel E.
dc.date.accessioned2025-01-27T19:00:25Z
dc.date.available2025-01-27T19:00:25Z
dc.date.issued2003
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractClassification is vital for the evaluation of agricultural produce. However, the high costs, subjectivity, tediousness and inconsistency associated with manual sorting have been forcing the post harvest industry to apply automation in sorting operations. Fuzzy logic (FL) was applied as a decision making support to grade apples in this study. Quality features such as the color, size and defects of apples were measured through different equipment. The same set of apples was graded by both a human expert and a FL system designed for this purpose. Grading results obtained from FL showed 89% general agreement with the results from the human expert, providing good flexibility in reflecting the expert's expectations and grading standards into the results. This application of apple grading can be fully automated by measuring the required features by means of high-tech sensors or machine vision and making the grading decision using FL.
dc.identifier.doi10.3906/tar-0308-7
dc.identifier.endpage382
dc.identifier.issn1300-011X
dc.identifier.issue6
dc.identifier.scopus2-s2.0-1342289308
dc.identifier.scopusqualityQ1
dc.identifier.startpage375
dc.identifier.trdizinid30401
dc.identifier.urihttps://doi.org/10.3906/tar-0308-7
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/30401
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13314
dc.identifier.volume27
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherTUBITAK
dc.relation.ispartofTurkish Journal of Agriculture and Forestry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectApple classification; Apple grading; Fuzzy logic; Fuzzy membership
dc.titleApple grading using fuzzy logic
dc.title.alternativeBulanik mantik kullanarak elma siniflama
dc.typeArticle

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