Optimal crop allocation including market trends and water availability

This paper describes a multi-period mixed integer nonlinear programming model for determining the optimal crop allocation for several planting cycles based on future crop prices and fresh water availability. An autoregressive moving average model is implemented to predict prices, and a new superstructure that includes all configurations of interest for the reuse, recycling, storage, and regeneration of water is employed. Two characteristic examples considering maize, wheat, alfalfa, and beans and their optimal scheduling for the years 2020, 2021, and 2022 are solved with the objective of maximizing the total annual profit. In determining the profit, the operating costs include fresh water, fresh fertilizer, and pumping and the capital costs include storage tanks, treatment units, pipelines, and pumps. (C) 2020 Elsevier B.V. All rights reserved.