Abstract: Based on meteorological and historical statistical data on the accumulative amount of bollworm(Heliothis armigera) eggs and occurrence of the bollworm from 1990 to 2004 collected by Shandong Plant Protecting Station.A short-medium term meteorological prediction model was established involving the accumulative amount of bollworm eggs and the degree of bollworm occurrence,by using the DPS data-processing system and the multiple regression method for the key meteorological factors.The results of the validation for 2005 and the last few years were preferable.The results provided references to monitoring and prediction of the bollworms and were of great significance for the guidance of prevention and reduction of agricultural disasters.

Key words: Bollworm(Heliothis armigera), Bollworm(Heliothis armigera), Meteorological conditions, Prediction model