MULTI-OBJECTIVE ANALYSIS APPLIED TO AN IRRIGATED AGRICULTURAL SYSTEM ON OXISOLS

作者：Mello A V Jr; Schardong A^*; Pedrotti A

来源：Transactions of the ASABE, 2013, 56(1): 71-82.

DOI：10.13031/2013.42591

• Brazil
• Crop management
• Evolutionary algorithms
• Irrigation
• Linear programming
• Management
• Optimization models
• Tillage

A mathematical model was developed to optimize an irrigated crop rotation system by maximizing net income and minimizing soil degradation. The area analyzed was a center-pivot irrigation area in Guaira, Sao Paulo State, Brazil. Corn, beans, soybeans, sorghum, and tomatoes were cultivated, and conventional tillage and no-tillage agricultural mechanization practices were applied in the field. Mixed-integer linear programming (MILP) and genetic algorithm (GA) were the quantitative tools chosen for data analysis. Constraints included water availability, crop rotation specification, and water distribution in quarter sections of the pivot circle. Two models (SWT and NSGA-II) were formulated into two multi-objective analysis methods. The models represented a solution with a set of non-inferior points (non-dominated solutions) in which tradeoffs among objectives were explored. Both methods (SWT and NSGA-II) resulted in a set of points that represent the tradeoff curve, and each point had an associated net income and soil degradation value. Decision makers or managers will be able to base their decisions on the optimal points presented by the mathematical models.

• 出版日期2013-2