Automatic Detection of Leaf Disease Using CNN Algorithm

Abstract

In Indian market, the highest commercial staple is tomato crop. The production of apples constituted 2.40% of the total fruits produced in India, and Maize is one of the highest yielding crops in the world, thus known as ‘miracle crop.’ These plants’ health and growth are usually affected by the diseases. There are various types of tomato, maize and apple leaf diseases that affect the crop. This paper uses the convolution neural network to detect and identify the diseases in the leaves by image classification. The main objective of the proposed system is to find a solution for the problem of tomato, corn and apple leaf diseases using the neural network. The proposed convolutional neural network model has eight layers including five convolution and three max pooling layers. The proposed system has achieved accuracy from the range 96–98% for three different types of the leaf images indicating the feasibility of neural network method.