Maximization of Expected Profit by Adaptive Crop Rotation in Smart Agriculture

Abstract

There is a lot of previous research on smart agriculture. In this research, crop rotation is studied in smart agriculture. In some previous research on crop rotation, the expected profit of finite periods is maximized considering the fluctuating crop price. The previous method cannot maximize the expected profit after the finite periods. In this research, the expected profit of infinite periods is maximized considering the fluctuating crop price. In this research, the crop rotation problem is modeled by Markov decision processes. The expected profit is maximized by value iteration algorithm in the proposed method. The effectiveness of the proposed method is shown by some computational examples. The expected profit of the proposed method is greater than that of the comparison target. In the results of the proposed method, the adaptive crop selections according to the fluctuating crop price are confirmed. The proposed method is expected to contribute to the automation of decision making in smart agriculture.