Intercropping Planning Models for an Agricultural Expert System

Traditionally, single cropping culture is widely used. The culture causes more economic risk to growers owing to the crop price is typically fluctuated. Intercropping is an approach of reducing the risk from an economic crisis of crop prices. This paper proposes intercropping planning models for an agricultural expert system. Several models are designed to seek the best approach to the planning by applying a linear programming and many cultivating factors to calculate the maximum income under the concept of economic risk minimization. The experimental results reveal that a model using only a linear programming provided the highest income; but it could not accomplish in the risk minimization. On the other hand, the proposed model could minimize the risk where the related income to linear programming-based model is about 87% on the average.