Recognition of Unhealthy Plant Leaves Using Naive Bayes Classifier

Content Provider	Scilit
Author	Mohanapriya, K. Balasubramani, M.
Copyright Year	2019
Description	Journal: Iop Conference Series: Materials Science and Engineering 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.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/561/1/012094/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/561/1/012094
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	561
Language	English
Publisher	IOP Publishing
Publisher Date	2019-11-12
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Plant Leaves Using
Content Type	Text
Resource Type	Article