Web-Based Rice Disease Diagnosis System Using Case-Based Reasoning

Computer based methods are increasingly usedto improve the quality of making decisions in many areas.Decision Support systems use knowledge, facts and reasoningtechniques to solve problems that normally require theexpertise, experiences and abilities of human experts. Thissystem will present the implementation of web-based ricedisease diagnostic system using case-based reasoningtechnique. Although there are many approach for manyapproach for classification in data mining, Case BaseReasoning(CBR) is used for testing rice diagnosis. In this ricediagnosis are taken as the cases of Case Base. Moreover, cosinesimilarity algorithm is used for measuring the similar cases