CHARACTERIZATION OF PLANT DISEASE PREDICTION USING CONVOLUTIONAL NEURAL NETWORK

Abstract

Agriculture is one of the main factors determining the growth of a country. In India itself, about 65% of the population lives from agriculture. Due to different seasonal conditions, plants can be infected with different diseases, which can affect the leaves. First the tree is infected, then the whole plant, thereby affecting the quality and quantity of growth of the tree. Because there are many plants in the yard, it is difficult for the human eye to recognize and classify diseases of each plant in the field. Since these diseases can be transmitted, it is important to diagnose each plant type. Therefore, in this paper, we introduce the automatic detection and classification of leaf diseases based on artificial intelligence to quickly identify, classify and perform the required tasks and easy. Medicines to treat this disease. This is one way to achieve our goal of increasing agricultural crop yields. In this method, we have followed several steps i. Image acquisition, pre-processing, segmentation and image classification