Analyzing Agricultural Economy Data with Computational Intelligence Method

Computational intelligence, including mathematical modeling and statistical analysis, is always used in economy activities for quantitative analysis. For agriculture is so important that almost all states and regions pay special attention to its development. This paper collects China´s 25 provinces agricultural fiscal support data and agriculture production cost data, analyzes the data with panel-data model, and then both 1dimensional and 2-dimensional clustering are utilized to scientifically classify these provinces into different kinds of agriculture-suitable regions. Consequently, based on this kind of quantitative analysis results about agricultural data, this paper proposes 3 kinds of agriculture development strategies.