Abstract: Based on the observed climate and crop data in the Heilongjiang Province, the important parameters for maize, soybean, paddy rice and spring wheat in the Crop Growth Monitoring System (CGMS) were validated and classified. The different models were used to monitor and predict the crop yields for 2003 in the different counties. The validation results showed that the CGMS had a good predictive effect with a relative high accuracy, and was valuable to monitor and predict the food crop yields both in theoretical research and practical application.

Key words: Crop Growth Monitoring System (CGMS), Crop Growth Monitoring System (CGMS), Heilongjiang Province, WOFOST model, Remote sensing prediction