Open AccessRecognition of Unhealthy Plant Leaves Using Naive Bayes Classifier
Author(s) -
K Mohanapriya,
M. Balasubramani
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/561/1/012094
Subject(s) - classifier (uml) , plant disease , naive bayes classifier , computer science , bayes' theorem , agriculture , population , artificial intelligence , machine learning , microbiology and biotechnology , geography , environmental health , medicine , biology , bayesian probability , support vector machine , archaeology
India is a country and around 70% of our population relies on development. 33% of our national pay starts from agribusiness. So to identify the plant diseases is a difficult way in the agriculture field. Major part of the plant diseases are brought about by the assault of microorganisms, developments, contamination, etc. In case proper consideration isn’t taken around there, it will cause genuine consequences for plants and unfavorably influences the efficiency and quality. To perceive the plant diseasesa brisk customized way is needed. The main aim of this project is to spot the unhealthy plant leaves. In this task, MATLAB tool is used for measuring affected area of disease and to determine the colour of the diseases. So this task takes less measure of time and get more efficiency. Here, this project is proposed with a thoughtof identifying unhealthy region of plant leaves using classifier technique. The classifier technique can be used to classify the leaves and the classified results result can be seen in simulation.