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Reseach Article

Bridging Decision Tree Data Mining Model to the Automated Knowledge Base for Rice Plant Agriculture Expert System

by Divya Joy, Sreekumar K.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 24
Year of Publication: 2015
Authors: Divya Joy, Sreekumar K.
10.5120/21884-4280

Divya Joy, Sreekumar K. . Bridging Decision Tree Data Mining Model to the Automated Knowledge Base for Rice Plant Agriculture Expert System. International Journal of Computer Applications. 121, 24 ( July 2015), 26-31. DOI=10.5120/21884-4280

@article{ 10.5120/21884-4280,
author = { Divya Joy, Sreekumar K. },
title = { Bridging Decision Tree Data Mining Model to the Automated Knowledge Base for Rice Plant Agriculture Expert System },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 24 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number24/21884-4280/ },
doi = { 10.5120/21884-4280 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:18.200165+05:30
%A Divya Joy
%A Sreekumar K.
%T Bridging Decision Tree Data Mining Model to the Automated Knowledge Base for Rice Plant Agriculture Expert System
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 24
%P 26-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Agriculture is one of the most important inventions of human civilization. It is considered to be a primary occupation of the major portion of world population. Agriculture domain is moving towards a production decline for the few decades. Most of the currently available methods and materials in rural agriculture field have been used for decades. The objective of this work is to focus on bringing new techniques in rural area to improve overall agriculture production and management using expert system technology. This paper presents a new methodology for the expert system design and uses a novel approach for the development with some data mining technique and implements a rule based expert system for rice plant. The main idea is that in addition to the predefined rule set already stored in a typical expert system, the proposed system includes the rules that are automatically generated from data set instances of agriculture field. Here the rule generation is done through a process of decision tree based data mining technique. The generated as well as predefined rules together form the automated knowledge base for the rice plant expert system. So this work presents the development of an integrated system for agriculture domain by bridging the data mining aspects with expert system technology. The system is intended to support the decision making and problem solving in respective domain especially for the rural area farmers.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Agriculture Expert System Data Mining Decision Tree