Tomato Leaf Disease Detection and Classification using Convolutional Neural Networks
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Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Automatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture and increase productivity in agriculture. In this study, the major tomato leaf diseases that significantly affect tomato efficiency were examined and the convolutional neural networks deep learning method was applied for the automatic classification of these diseases. It is thought that the model applied in this study can also be applied on other agricultural crops, so that the contribution of image processing to agriculture will increase gradually. This study can also be used for a robot that can complete the detection and classification of plant diseases automatically by performing a tour of inspection in a particular region. © 2020 IEEE.
Açıklama
2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305
Anahtar Kelimeler
Classification, Convolutional Neural Networks, Deep Learning, Image Processing in Agriculture, Tomato Leaf Diseases, Agricultural robots, Convolution, Crops, Deep learning, Fruits, Image enhancement, Intelligent systems, Learning systems, Medical imaging, Agricultural crops, Automatic classification, Learning methods, Medical fields, Plant disease, Tomato leaf, Convolutional neural networks
Kaynak
Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
