Diagnostic Expert System Development in ESTA for Agricultural Application

 Anthology The Research:(ISSN: 2456–4397 RNI No.UPBIL/2016/68067 Vol-5* Issue-8* November-2020)

 Paper Submission: 10/11/2020, Date of Acceptance: 25/11/2020, Date of Publication: 26/11/2020

 

Madan Mohan Prasad
 Dept. of Electronic Science 
Guest faculty 
L.S College, 
Bihar University, 
Bihar, India

Mintu Kumari
 Ex- Research Scholar 
Dept. of Electronic Science,
 Bihar University, 
Bihar, India

Abstract

 The paper deals with representation of different types of diagnostic knowledge in the framework of Expert System Shell forText Animation (ESTA)to develop diagnostic expert system for the Horticultural applications. Like other Expert System Shells, it contains inbuilt control and user interface module and provides open framework for knowledge representation. Such structuring of system makes its use easier for people familiar with AI (Artificial Intelligence) techniques as well as for the domain experts to develop expert systems. Diagnostic expert system can be useful in the area of orchard management. The diagnosis of ailments of trees can be done using different knowledge such as visual symptoms, chemical tests etc. Use of visual symptoms for diagnosis of ailments is important and can be done immediately. This paper examines in details different types of logical modules such as abductive and deductive used in diagnosis and their representation in ESTA. The expert system based on the visual symptoms can be especially helpful in fruiting season when diagnosis process should not take time and remedy should be applied immediately to stop losses.

 for full paper please visit below link :

http://www.socialresearchfoundation.com/upoadreserchpapers/7/391/2012041025531st%20mintu%20kumari%2013009.pdf

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