Open AccessDetection of Disease in Leaf using Artificial Neural Network
Author(s) -
Veeramaneni Shresta
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35812
Subject(s) - computer science , plant disease , agricultural engineering , agriculture , artificial intelligence , microbiology and biotechnology , biology , engineering , ecology
Leaf spots are diseased areas on leaves. Agricultural production is negatively affected by plant diseases. We have proposed a system that can help farmers identify leaf diseases and take appropriate preventive measures to increase crop yields. We take images of diseased leaves and perform various pre-processing techniques on them, to detect the edges of the leaves. The entire region of interest is divided into blocks, and then the characteristics of each block are compared with the characteristics of the image in the database. The main purpose is to identify the disease in the leaf spot of the crop as 80-90% of the plant diseases occur in the leafspot. ANN methods are used for the classification of plant diseases. Using these methods, we can accurately identify and classify various plant diseases. We will create an end-to-end Android application. It is possible to run applications on mobile devices through the use of convolution operations, special integration, and the computational efficiency of using ANN to share parameters. This project will be of great use to the farmers as it will help them to detect the plant diseases in the early stage and enhance the production of crop.