Classification of Chickpea Varieties Based on Convolutional Neural Networks Evrişimsel Sinir Aglari Tabanli Nohut eşitleri Siniflandirmasi

Kilic I., YALÇIN N.

2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 Ekim 2023 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/asyu58738.2023.10296680
  • Basıldığı Şehir: Sivas
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: chickpea classification, convolutional neural networks, deep learning, smart agriculture
  • Erciyes Üniversitesi Adresli: Evet

Özet

Agriculture 4.0, in essence, means the integration of the knowledge obtained through technology to agricultural works and activities with technology opportunities. Seed quality is one of the main problems of crop production in agriculture. Seed classification can provide information on seed purity and is traditionally performed by visual inspection by experts. This study aims to classify chickpea seed varieties using Convolutional Neural Networks (CNNs). The performances of the developed CNN models have been compared using various metrics. The highest result obtained using the CNN models is 0.98 of test accuracy.