Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Deep Learning-Based Classification Consisting of Pre-Trained Models and Proposed Model Using K-Fold Cross-Validation for Pistachio Species
Applied Sciences Switzerland · Nisan 2025
YÖKSİS Kayıtları
Deep Learning-Based Classification Consisting of Pre-Trained Models and Proposed Model Using K-Fold Cross-Validation for Pistachio Species
Applied Sciences · 2025 SCI-Expanded
DOÇENT MUSTAFA SERTER UZER →
Makale Bilgileri
DergiApplied Sciences Switzerland
Yayın TarihiNisan 2025
Cilt / Sayfa15
Scopus ID2-s2.0-105003738922
Erişim🔓 Açık Erişim
Özet
Pistachio is a nut originating from the Middle East, and the main varieties grown and exported in Turkey are Kirmizi and Siirt pistachios. Due to their strategic importance in the agricultural economy, they need to be classified correctly. This study aims to classify Kirmizi and Siirt pistachios using various deep learning-based models and k-fold cross-validation. For this purpose, the seven convolutional neural network models trained by transfer learning and the proposed MSU-CNN model are used for classification with k-fold cross-validation. The dataset used in this study consists of 2148 images, 1232 of which belong to Kirmizi pistachio and 916 to Siirt pistachio. The K-fold cross-validation method is applied to enhance the generalization ability of the classification model, prevent overfitting, and improve performance reliability. The AlexNet, GoogLeNet, proposed MSU-CNN, VGG16, EfficientNet-b0, ResNet-18, Inception-v3, and ResNet-50 models achieved classification accuracies of 94.88%, 96.79%, 96.79%, 97.90%, 98.88%, 99.02%, 99.21%, and 99.63%, respectively, with average results based on 5-fold cross-validation and the highest accuracy attained by ResNet-50. The performance of models was evaluated using classification accuracy, sensitivity, specificity, precision, F1-score, and ROC-AUC values. According to the results, many of the proposed models proved to be effective in the identification of pistachio species.
Yazarlar (1)
1
Mustafa Serter Uzer
ORCID: 0000-0002-8829-5987
Anahtar Kelimeler
convolutional neural networks
Deep learning
food classification
k-fold cross-validation
pistachio
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
2
Atıf
1
Yazar
5
Anahtar Kelime