Optimal crop allocation including market trends and water availability

Maritza E. Cervantes-Gaxiola, Erik F. Sosa-Niebla, Oscar M. Hernández-Calderón, José M. Ponce-Ortega, Jesús R. Ortiz-del-Castillo and Eusiel Rubio-Castro

European Journal of Operational Research, 2020, vol. 285, issue 2, 728-739

Abstract: 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.

Keywords: Combinatorial optimization; Assignment; Water integration; Price prediction; Mixed-integer nonlinear programming (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:285:y:2020:i:2:p:728-739

DOI: 10.1016/j.ejor.2020.02.012

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