Plant Leaf Disease Detection and Classification Based on Convolutional Neural Network

Abstract

Abstract: A strong pillar of the Indian economy is agricultural productivity, making the contributions of both food crops and cash crops crucial for the well-being of both the environment and human beings. Unfortunately, every year, crops fall victim to numerous diseases, resulting in substantial losses. The inadequate identification and lack of knowledge regarding disease symptoms and treatment lead to the demise of many plants. This study offers valuable insights into the detection of plant diseases by utilizing the CNN algorithm. A novel approach based on CNN is proposed for the detection of plant diseases. The study involves conducting simulations and analyzing sample images to assess factors such as time complexity and the extent of the infected region. The technique involves utilizing image processing to recognize the leaf and subsequently identifying and classifying the infected area.