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Development of an Expert System to control Pest and Disease Of Groundnut with CN2 algorithm

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dc.contributor.author Oo, May Hnin Wai
dc.contributor.author Myo, Nyein Nyein
dc.date.accessioned 2019-07-29T04:08:36Z
dc.date.available 2019-07-29T04:08:36Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1428
dc.description.abstract Disease and pest are important factors in agriculture ecosystem. In this paper, an expert system is applied in agriculture. It uses a rule induction method to generate the rules for the pests or diseases that occurred in groundnuts and gives the accuracy for the system. It assists the users to give the knowledge of diseases and pests that found in groundnut. The system accepts the behavior of infection and defines pest or disease. Then it diagnoses what pests and disease based on the symptoms that have been selected by the user. CN2, the rule induction method is integrated into a tool for agricultural decision support. The usage of this data mining method allows discovering new agricultural knowledge in the field of pest and disease data that can help to make the optimal solution of the preliminary diagnosis. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject expert system en_US
dc.subject data mining en_US
dc.subject rule induction en_US
dc.subject pest and disease data en_US
dc.subject optimal solution en_US
dc.subject decision making en_US
dc.title Development of an Expert System to control Pest and Disease Of Groundnut with CN2 algorithm en_US
dc.type Article en_US

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