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

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.