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Ontology based EXPERT SYSTEM FOR RAPESEED- MUSTARD CROP

KrishiKosh

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Title Ontology based EXPERT SYSTEM FOR RAPESEED- MUSTARD CROP
M C A
 
Creator SAHI RAM
 
Contributor Sudeep Marwaha
 
Subject Semantic Web, OWL, Protégé, SPARQL, Ontology
 
Description T-8751
Rapeseed-Mustard is an important oilseed crop and contributes around 23.2 per cent of the total oilseed production in India. The production of Rapeseed-Mustard is widely affected by rapeseed-mustard diseases and pests. The identification of disease is the difficult task. If the diseases identified timely, the control measures can be applied effectively. This expert system has been developed to help extension personals, researchers and farmers in identification and management of diseases and pests attacking Rapeseed-Mustard crop which is neither feasible nor practical by conventional system of extension. And another advantage of developing ontology based expert system is that in conventional architecture of expert system, knowledge engineers along with domain experts build the knowledgebase in terms of facts and rules. This knowledgebase resides in the working memory of the inference engine and only accessible to one system. This knowledgebase is not portable and cannot be made accessible to other applications concurrently. Moreover, rule-base knowledgebase is not inherently based on Unicode and thus lacks support for internationalization or for regional languages. This system has a portable knowledgebase and is based on ontologies. The system acts as a tool for transferring the site and crop specific knowledge of various domain experts to the farmers.
 
Date 2016-08-27T10:42:36Z
2016-08-27T10:42:36Z
2012
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/74042
 
Format application/pdf
 
Publisher IARI,Indian Agricultural Statistics Research Institute Indian Agricultural Research Institute