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Classification of Processed Hazelnuts with Computer Vision

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dc.creator Cetisli, Bayram
dc.creator ŞENEL, Fatih Ahmet
dc.creator Guvenc, Seyit Ahmet
dc.date 2014-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T11:00:53Z
dc.date.available 2020-10-06T11:00:53Z
dc.identifier b1b91ace-1240-4da8-8e22-a729ef076c60
dc.identifier 10.1109/siu.2015.7130094
dc.identifier https://avesis.sdu.edu.tr/publication/details/b1b91ace-1240-4da8-8e22-a729ef076c60/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/69593
dc.description Today's, blanched or roasted hazelnuts are widely used in chocolate and biscuits industry. Partly skin removed hazelnuts kernels are caused to deterioration in flavor and taste of the chocolate. Many of chocolate and biscuits cooperation in Turkey are using traditional manual selection methods. However, manual selection has high error rate, time consuming and costly. In this study, the partly skin removed hazelnut kernel, skin removed and rotten hazelnuts kernels which are obtained from processed kernels are classified by using computer vision approach. In the proposed study, the processed hazelnut kernels are classified with 93.57 % classification accuracy rate.
dc.language tur
dc.rights info:eu-repo/semantics/closedAccess
dc.title Classification of Processed Hazelnuts with Computer Vision
dc.type info:eu-repo/semantics/conferenceObject


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