Author(s)

Bing Jiang, Hongbing Luo, Zhengyi Ji

Corresponding Author

Bing Jiang

Abstract

A novel model of farmers planting prediction has been applied to solve the existing problems of agricultural industry planning by using the combination between the case reasoning technology and cellular automaton algorithm for the verification analysis based on investigated data. Results show that this model has higher prediction accuracy of the local planting industry development, and has well predicated results compared with the investigated data. The average ratio of the predicated farming households and the actual farming households was 87%, and the average accuracy of predicated farming households and the actual farming households was 81.5%. Further, with the development, the larger the number of local farming households is, the higher the prediction accuracy is. It concludes that this model has a strong application value, and has a promising application to provide a strong support for the governmental policies of local agricultural industry development according to local market changes.

Keywords

Case based reasoning, cellular automata, prediction, farmer's planting