Abstract
There is a lot of previous research on profit maximization in agriculture. In a previous research, crop rotation problem and cultivation management problem are solved as one integrated management problem in order to maximize the profit in agriculture. Decisions are often made under cost constraints in real agricultural management. But in the previous research, decisions are made without cost constraints. In this research, cost constrained integrated management is studied. A new integrated management method considering cost constraints is proposed. Cost constrained integrated management problem is modeled by Markov decision processes. The proposed method maximizes the expected profit under cost constraints by dynamic programming. In the numerical calculation results, adaptive crop selection examples and cultivation action selection examples under cost constraints are confirmed. This research is basic research, and future extended research is required. For example, as a more realistic problem setting, the cost constrained integrated management problem for multiple farms is interesting.
