A framework intelligent mobile for diagnosis contact lenses by applying case based reasoning

Abstract

This paper is lead to the development of the system that allows detection of which suitable type of lenses thus will minimize the margin of destruction. The proposed system serves as advisory system to assist in predicting type of lenses in the early stage, through analysis of similar historical events of several aspects of paddy diseases cases and features which are stored in time-series form (temporal information), restructured and re-designed into case based format. The AI technique, case based reasoning (CBR) supports the process of finding the similarity. © 2013 Springer Science+Business Media.