Intelligent Mobile Paddy Diseases Using Fuzzy Temporal Information

Paddy (Rice) cultivation is the major food crop enterprise in Malaysia. Numerous diseases of paddy have been found in paddy field cause considerable crop losses field. For example, Rice Tungro Disease can destroy up to 90 Percent of the rice crop during growing seasons. Therefore, there is an urgent need to predict them in the early stages, so that fast and effective control measures can be taken to avoid diseases outbreaks. This study led to the development of intelligent mobile Paddy diseases detection system using fuzzy temporal information to early predict the paddy diseases. Fuzzy Set theory is used to represent the cases in fuzzy concept format while Case-Based Reasoning (CBR) is used to retrieve similar cases. Real data which cover historical cases of several aspects of paddy diseases were used. The prototype in predicting the diseases confirms the perfection and efficiency.