TY - JOUR T1 - Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models TT - Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models AU - Avuçlu, Emre PY - 2023 DA - December Y2 - 2023 DO - 10.47897/bilmes.1328313 JF - International Scientific and Vocational Studies Journal JO - ISVOS PB - Umut SARAY WT - DergiPark SN - 2618-5938 SP - 79 EP - 86 VL - 7 IS - 2 LA - en AB - The value of the economy provided by pistachios to the countries where they are grown is increasing day by day. From this point of view, the importance of correct classification of pistachios is known. The more accurately the harvested pistachios are classified, the better the monetary return value. In this study, two different classes of pistachios were classified using VGG16 and VGG19 deep learning architectures. There are 2148 pieces of Kirmizi and Siirt Pistachio in the dataset. Experimental studies were carried out with 5-fold crossvalidation. As a result of the experimental studies, the Accuracy value of 0.802117 and the F1-measure value of 0.830593 were obtained from the average of 5 folds from the VGG16 deep learning model. Likewise, the Accuracy value of 0.779404 and the F-measure value as 0.779404 were obtained from the average of 5 folds from the VGG19 deep learning model. KW - Pistachio KW - Deep learning KW - VGG16 KW - VGG19. N2 - The value of the economy provided by pistachios to the countries where they are grown is increasing day by day. From this point of view, the importance of correct classification of pistachios is known. The more accurately the harvested pistachios are classified, the better the monetary return value. In this study, two different classes of pistachios were classified using VGG16 and VGG19 deep learning architectures. There are 2148 pieces of Kirmizi and Siirt Pistachio in the dataset. Experimental studies were carried out with 5-fold crossvalidation. As a result of the experimental studies, the Accuracy value of 0.802117 and the F1-measure value of 0.830593 were obtained from the average of 5 folds from the VGG16 deep learning model. Likewise, the Accuracy value of 0.779404 and the F-measure value as 0.779404 were obtained from the average of 5 folds from the VGG19 deep learning model. CR - [1] Atay Ü., The Investigation Of Classification Systems Used For Pistahio And Construction Of An Alternetive Classification System, Phd Thesis Harran University, Sanliurfa, 2007. CR - [2] Tunalıoğlu R, and Taşkaya B., “Antepfıstığı”. Tarımsal Ekonomi Araştırma Enstitüsü Dergisi, 2003. 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