Open AccessMachine Learning and Fuzzy Logic based Detection, Classification and Grading of Leaf Disease in Plants
Author(s) -
Bhavika Patel,
Binal Kaka,
Dweepna Garg,
R. D. Patel
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g1012.0597s20
Subject(s) - agriculture , machine learning , fuzzy logic , artificial intelligence , support vector machine , plant disease , computer science , grading (engineering) , artificial neural network , expert system , disease , engineering , microbiology and biotechnology , biology , medicine , ecology , pathology , civil engineering
India is an agricultural country where most of people are depends on the agriculture. When Plants are infected by the virus, fungus and bacteria, they are mostly seen on leaves and stems of the plants. Because of that, plants production is decreased also economy of the country is decreased. The farmer has to identify the disease and decide which pesticide will be used to control the disease in plants. To finding out which disease affect the plants, the farmer contacts the expert for the solution. The expert gives the advice based on its knowledge and information but sometimes seeking the expert advice is time consuming, expensive and may be not accurate. So, to solve this problem, the image processing techniques and Machine Learning algorithm like Neural Network, Fuzzy Logic and Support Vector Machine gives the better, accurate and affordable solution to control the plants disease than manual method.