A novel approach for tomato leaf disease classification with deep convolutional neural networks
Gizem IRMAK,
Ahmet SAYGILI
Abstract:Computer-aided automation systems that detect plant diseases are one of the challenging research areas that provide effective results in the agricultural field. Tomato crops are a major product with high commercial value worldwide and are produced in large quantities. This study proposes a new approach for the automatic detection of tomato leaf diseases, which employs classical learning methods and deep neural networks for image classification. Specifically, Local Binary Pattern (LBP) method was used for featu… Show more
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