Diagnosis of Rice Diseases by using Case-Based Reasoning

Abstract

Rice cultivation is the major food crop enterprise in Myanmar. Numerous disease of rice has been found in rice field cause considerable crop losses field. Diseases control and treatment are required in rice field. Case-based reasoning is the computational reasoning paradigm that involves solving new problem by recalling old problems and their solutions adapt these previous experience represented as case. The effectiveness of CBR depends on the quality and quantity cases in case base. The proposed system is to get the information for rice disease and by providing the disease control and treatment for input cases. It uses the Nearest Neighbor technique for case retrieval and reuses the retrieve case's solution. Then, the system can also retain the current case solution for future assistance.