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A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System

Published on October 2011 by Lokesh Jain, Harish Kumar, R. K. Singla
journal_cover_thumbnail

IP Multimedia Communications
Foundation of Computer Science USA
IPMC - Number 1
October 2011
Authors: Lokesh Jain, Harish Kumar, R. K. Singla
713525f9-b955-4ddb-88a8-bba432a9bc11

Lokesh Jain, Harish Kumar, R. K. Singla . A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System. IP Multimedia Communications. IPMC, 1 (October 2011), 55-60.

@article{
author = { Lokesh Jain, Harish Kumar, R. K. Singla },
title = { A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System },
journal = { IP Multimedia Communications },
issue_date = { October 2011 },
volume = { IPMC },
number = { 1 },
month = { October },
year = { 2011 },
issn = 0975-8887,
pages = { 55-60 },
numpages = 6,
url = { /specialissues/ipmc/number1/3749-ipmc013/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 IP Multimedia Communications
%A Lokesh Jain
%A Harish Kumar
%A R. K. Singla
%T A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System
%J IP Multimedia Communications
%@ 0975-8887
%V IPMC
%N 1
%P 55-60
%D 2011
%I International Journal of Computer Applications
Abstract

Integration of soft computing techniques in the development of agricultural expert information systems, decision support systems etc. to predict the response of the agricultural output parameters with reference to the input information to the system has helped a lot of farm stakeholders where the expertise is not available. One of the soft computing techniques is fuzzy logic. This paper provides the review of the fuzzy rule promotion methodology as applied to oilseeds diseases diagnosis system. The methodology of the system has been discussed and drawbacks in the web based intelligent diseases diagnosis system and the rule promotion methodology has also been presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Agricultural information system fuzzy logic rule promotion methodology expert systems disease diagnosis