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A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System

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IP Multimedia Communications
© 2011 by IJCA Journal
ISBN : 978-93-80864-99-3
Year of Publication: 2011
Authors:
Lokesh Jain
Harish Kumar
R.K. Singla

Lokesh Jain, Harish Kumar and R K Singla. A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System. Special issues on IP Multimedia Communications (1):55-60, October 2011. Full text available. BibTeX

@article{key:article,
	author = {Lokesh Jain and Harish Kumar and R. K. Singla},
	title = {A Review of Fuzzy Rule Promotion Techniques in Agriculture Information System},
	journal = {Special issues on IP Multimedia Communications},
	month = {October},
	year = {2011},
	number = {1},
	pages = {55-60},
	note = {Full text available}
}

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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