Recognition of Unhealthy Plant Leaves Using Naive Bayes Classifier

Mohanapriya, K and Balasubramani, M (2019) Recognition of Unhealthy Plant Leaves Using Naive Bayes Classifier. IOP Conference Series: Materials Science and Engineering, 561 (1). 012094. ISSN 1757-8981

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Abstract

Abstract

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.

Item Type: Article
Subjects: Agricultural Engineering > Sustainable, Climate-Smart Agriculture and Waste Management
Divisions: Agricultural Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 30 Oct 2026 03:50
Last Modified: 30 Oct 2026 03:50
URI: https://ir.vcenggw.ac.in/id/eprint/509

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