Abstract:
Computer based methods are increasingly used
to improve the quality of making decisions in many areas.
Decision Support systems use knowledge, facts and reasoning
techniques to solve problems that normally require the
expertise, experiences and abilities of human experts. This
system will present the implementation of web-based rice
disease diagnostic system using case-based reasoning
technique. Although there are many approach for many
approach for classification in data mining, Case Base
Reasoning(CBR) is used for testing rice diagnosis. In this rice
diagnosis are taken as the cases of Case Base. Moreover, cosine
similarity algorithm is used for measuring the similar cases.