Open AccessCNN based Leaf Disease Identification and Remedy Recommendation System
Author(s) -
Yeresime Suresh
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.2021.37239
Subject(s) - agriculture , identification (biology) , plant disease , disease , computer science , population , image processing , intervention (counseling) , precision agriculture , artificial intelligence , machine learning , agricultural engineering , risk analysis (engineering) , microbiology and biotechnology , image (mathematics) , environmental health , medicine , geography , engineering , biology , pathology , botany , archaeology , psychiatry
In this present era, agriculture has become simply a means to feed ever growing population. It is very important where in more than 70% population depends on agriculture in India. The plant diseases effect the humans directly or indirectly by health and also economically. To detect these plant diseases we need an automatic way without much of human intervention. We attempt to analyse the disease using image processing and automate the detection by implementing machine learning methodology. Traditional methods were used to detect the diseases which lead to the use of large amount of pesticides harming the fertile soil and also the nature. A solution to this is to use current methodologies like Image Processing and Machine Learning that helps the farmers to detect the diseases faster and increase the crop yield. Keywords: Plant Disease, Remedy, Image Processing