2020 Volume 22 Issue 2 Pages 21-32
Increasing profit is desired in Japanese agriculture. There is many previous research on profit maximization in agriculture. In previous research the profit of crop rotation is maximized. But the previous research is studied under the condition that the price of crop is constant. In General price of crop changes. In this research the profit of crop rotation is maximized under the condition that the price of crop changes depending on Markov chain. The profit is maximized by dynamic programming. The effectiveness of the proposed method is shown by some simulation examples. The profit of the proposed method is greater than that of the comparison target. In the results of the proposed method the adaptive crop selection according to the fluctuating crop price was confirmed. The optimal solution of the proposed method is also a theoretical limit. The theoretical limit can be used to evaluate other crop rotation methods. The proposed method is expected to contribute to the automation of decision making in smart agriculture.
