Publication:
Analyzing diplocarpon mespili lesions on pear using image processing

dc.contributor.buuauthorKurtulmus, Ferhat
dc.contributor.buuauthorÖZTÜFEKÇİ, SENCER
dc.contributor.buuauthorKURTULMUŞ, FERHAT
dc.contributor.buuauthorÖztüfekci, Sencer
dc.contributor.buuauthorŞehirli, S.
dc.contributor.departmentBursa Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Bölümü.
dc.contributor.departmentBursa Uludağ Üniversitesi/Ziraat Fakültesi/Bitki Koruma Bölümü.
dc.contributor.researcheridR-8053-2016
dc.date.accessioned2024-10-25T07:26:28Z
dc.date.available2024-10-25T07:26:28Z
dc.date.issued2016-01-01
dc.description.abstractPear is an important fruit not only for domestic market but also exportation. During preservation, it is possible to observe developping fungal growth on products arisen from latent infections after taking the products to storages. Under preservation conditions which are suitable for fungal growth, deteriorations and deformations can occur on the products which may cause commercial loses. To prevent these, it is crucial to detect and isolate infected fruits in storages. In this study, a lesion detection algorithm was developed by using image processing methods and support vector machine to prevent infected fruits by Diplocarpon mespili to transmit the disease to healthy ones. With the proposed method, it was found that active disease regions which continue to grow and to increase diameter could be detected with higher accuracy in comparison with passive regions.
dc.identifier.endpage11
dc.identifier.issn1302-7050
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11452/47079
dc.identifier.volume13
dc.identifier.wos000453167500001
dc.indexed.wosWOS.ESCI
dc.language.isoen
dc.publisherUniv Namik Kemal
dc.relation.journalJournal Of Tekirdag Agriculture Faculty-tekirdag Ziraat Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDefects
dc.subjectPear
dc.subjectImage processing
dc.subjectDiplocarpon mespili
dc.subjectLesion analysis
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectAgriculture, multidisciplinary
dc.subjectAgriculture
dc.titleAnalyzing diplocarpon mespili lesions on pear using image processing
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication9f2df001-5114-41af-bedc-156aea59aba6
relation.isAuthorOfPublication25fb8b13-b65f-4606-8a59-ab7dae0a261e
relation.isAuthorOfPublication.latestForDiscovery9f2df001-5114-41af-bedc-156aea59aba6

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