A model of crop planning under uncertainty in agricultural management

The crop planning problem is often formulated as a linear programming problem. But, in many actual cases, the profit coefficients for agricultural products are not certain values because of the influence of the future weather, so a linear programming model with constant coefficients does not describe the environment of decision making properly. Therefore, we propose a model of crop planning with uncertain (stochastic) value which may support decision making of agricultural farms. In this paper we treat such uncertain elements as the values with the fuzziness and randomness.