Identification of Apricot Varieties Using Leaf Characteristics and KNN Classifier

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dc.authoridKocamaz, Adnan Fatih/0000-0002-7729-8322
dc.authoridAltuntas, Yahya/0000-0002-7472-8251
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidKocamaz, Adnan Fatih/C-2820-2014
dc.contributor.authorAltuntas, Yahya
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:46:55Z
dc.date.available2024-08-04T20:46:55Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractApricot variety identification is an important issue for both plant breeders, seedling producers and conservation of biodiversity. Leaf, which contains important information about the plant to which it belongs, is used for species identification and plant disease diagnosis as well as for variety identification. In this study, the possibilities of identification of apricot varieties were investigated by using leaf characteristics. Within the scope of the study, a dataset consisting of 339 leaf images belonging to 10 apricot varieties was created. The proposed method consists of 3 main steps. In the segmentation step, the leaves were segmented from the background. 12 digital morphological features were obtained by using apricot leaf characteristics in the feature extraction step. In the classification step, the obtained feature vector was classified using the k-nearest neighbor classifier. 10-fold cross-validation method was used to determine classifier performance. The overall accuracy of the proposed method was measured as 79.05%.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875906
dc.identifier.scopus2-s2.0-85074890222en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875906
dc.identifier.urihttps://hdl.handle.net/11616/99039
dc.identifier.wosWOS:000591781100037en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectapricot varieties identificationen_US
dc.subjectleaf classificationen_US
dc.subjectimage processingen_US
dc.subjectKNNen_US
dc.titleIdentification of Apricot Varieties Using Leaf Characteristics and KNN Classifieren_US
dc.typeConference Objecten_US

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