A CASE-BASED FORECASTING SYSTEM FOR DANGSHANSU PEAR SCAB COMBINED WITH FUZZY CLUSTERING 1

CSBE101677 - Presented at the 8th World Congress on Computers in Agriculture (WCCA) ABSTRACT In accordance with the epidemic law of Dangshansu pear scab (Venturia nashicola Tanaka et Yamamoto) and based on the pear diseases, observations and weather data in the area of the ancient Yellow River valley, the case based forecasting system for Dangshansu pear scab ( PDFCBRS 1.0) was developed, combined with fuzzy clustering, and therefore had fuzzy reasoning capability and could be well emulated the expert reasoning with experience. The experimental results showed that the "CBR (Case Based Reasoning) + Fuzzy" not only changed the forecasting method of pear scab from experience approach to computer processing but also significantly reduces the human effort required for forecasting Dangshansu pear scab.