DETECTION BASED ON TRANSFER LEARNING APPROACH FOR PREVENTION AND EARLY DETECTION OF PEACH PLANT DISEASE FROM LEAF IMAGES
USBILIM 2nd International Conference on Artificial Intelligence Studies, Ankara, Türkiye, 17 - 18 Eylül 2022, ss.99-104, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.99-104
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Erzincan Binali Yıldırım Üniversitesi Adresli: Evet
Özet
Peach is one of
the widely consumed fruits that can adapt to different climatic conditions. In
order to produce quality peach fruit, it must be protected from diseases. In
this study, a decision support system has been proposed to control peach fruit
disease and to inform farmers producing peach about the peach disease in
advance. In the proposed system, a deep learning-based neural network based on
a transfer learning approach is used, which can quickly detect whether the
peach fruit is diseased from leaf images. It has been observed that the
proposed neural network provides 99.55% success accuracy in the detection of
peach disease.