Decision Support System for Rice Plant Disease Diagnosis using Naïve Bayes’ Algorithm

Khumukcham Robindro¹ , Ksh. Nilakanta² , Ashoke Das³ , Deepen Naorem⁴

1. Dept. of Computer Science, Manipur University (A Central University), Manipur, India.
2. Dept. of Computer Science, Manipur University (A Central University), Manipur, India.
3. Department of Mathematics, Raiganj University, West Bengal, India.
4. Dept. of Computer Science, Manipur University (A Central University), Manipur, India.

Correspondence should be addressed to: rbkh@manipuruniv.ac.in.

Section:Research Paper, Product Type: Isroset-Journal
Vol.3 , Issue.7 , pp.23-27, Jul-2017

Online published on Jul 30, 2017

Copyright © Khumukcham Robindro, Ksh. Nilakanta, Ashoke Das, Deepen Naorem . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This paper presents the development of a Decision Support System (DSS) for diagnosing the diseases of rice plant so that the diagnosis process of human expert knowledge could be available to other farmers in solving their problem. The designed system is intended for the diagnosis of common diseases in rice plantoccurred during the life span. The proposed system facilitates different components including the decision support module with interactive user interface for diagnosis on the basis of response(s) of the user made against the queries related to the disease symptoms and predisposing factors. Naïve Bayes algorithm which is a Machine learning algorithm is used in the diagnosis process in this system. It is a classification technique based on Bayes’ theorem with an assumption of independence between the symptoms and preconditions of diseases of the rice plant.

Key-Words / Index Term :
DSS, Rice Plant, Disease, Naïve Bayes

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