Abstract: In process of agricultural development，reducing blindness of agricultural production and management，accurate data can improve scientific level of decision-making.Application of economic forecasting models and methods in agricultural economy were analyzed，such as the United States and Germany.Sub-model methods commonly used in agricultural engineering were introduced，such as traditional regression analysis model，artificial intelligence forecasting model，data mining forecasting model.Some relevant scientific suggestions were put forward，which hope to provide reference for improving application of economic forecasting models in agricultural development.