Optimal crop allocation including market trends and water availability
DOI10.1016/j.ejor.2020.02.012zbMath1441.90086OpenAlexW3006671905MaRDI QIDQ2183884
José M. Ponce-Ortega, Jesús R. Ortiz-del-Castillo, Erik F. Sosa-Niebla, Oscar M. Hernández-Calderón, Eusiel Rubio-Castro, Maritza E. Cervantes-Gaxiola
Publication date: 27 May 2020
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2020.02.012
combinatorial optimizationassignmentmixed-integer nonlinear programmingprice predictionwater integration
Applications of mathematical programming (90C90) Stochastic programming (90C15) Reliability, availability, maintenance, inspection in operations research (90B25) Production models (90B30) Case-oriented studies in operations research (90B90)
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Cites Work
- A dynamic stochastic programming model of crop rotation choice to test the adoption of long rotation under price and production risks
- A stochastic dynamic programming approach to analyze adaptation to climate change -- application to groundwater irrigation in India
- Capacity, pricing and production under supply and demand uncertainties with an application in agriculture
- Systems under attack-survivability rather than reliability: concept, results, and applications
- Crop succession requirements in agricultural production planning
- Improved mathematical model and bounds for the crop rotation scheduling problem with adjacency constraints
- Multiple objective linear programming for environmental farm planning
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