Detection of plant leaf diseases using sequential convolutional neural network
Elbrus Imanov1, Abdullahi Abdulkadir Hussein2 and Gunay E. Imanova3, 1Department of Computer Engineering, Near East University, North Cyprus via Mersin, Turkey, 2Area of Computer Engineering, Mogadishu, Somali, 3Azerbaijan State Oil and Industry University, Baku, Azerbaijan
Abstract
This chapter suggests use of the sequential convolutional neuronal network (SCNN) to detect plant leaf diseases. A deep learning architecture trains the proposed model on a collection of plant leaf pictures with disease classifications. The model is evaluated against a set of metrics, including accuracy and memory, in order to measure its effectiveness. It is demonstrated that ...
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