经济数学预测模型和方法在农业工程中的应用

Application of Economic Mathematics Prediction Model and Methods in Agricultural Engineering

农业发展的过程中,降低农业生产经营的盲目性,精确的数据可以提高决策科学化水平。首先分析了美国、德国等发达国家经济预测模型和方法在农业经济中的应用实践情况,对常用于农业工程中的模型方法进行介绍,如传统回归分析模型、人工智能预测模型和数据挖掘预测模型,并提出相关科学建议,为提高经济预测模型在农业发展中的应用提供参考。

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.