Gediz Havzasında ürün deseninin çok amaçlı doğrusal programlama yaklaşımı ile optimizasyonu

Purpose: With the rapid growth of the global population and the uncertainties brought by climate change, optimizing crop planting strategies has become a critical issue. Developing efficient and sustainable cropping models that balance food security, resource conservation, and economic viability within the constraints of limited land and water resources is essential for the future of agriculture. This study employs a multi-objective linear programming model to optimize cropping patterns with the conflicting objectives of minimizing water usage and maximizing agricultural revenue. Design/Methodology/Approach: The model operates under three key constraints: the income generated must be at least as high as the current level, water usage must not exceed the current amount, and crop acreage can vary by up to 10%. Optimal crop patterns were determined for the periods 2017, 2025-2050, 2050-2075, and 2075-2100, and the results of various cropping scenarios were analyzed. Findings: While all scenarios demonstrated reductions in water consumption and increases in agricultural income, the extent of these changes was influenced by the permissible variations in cultivation areas. Across all time periods, Scenario 6 which allows for a 10% change in cropland was identified as the most effective scenario. It resulted in an average 5.30% reduction in water usage and a 2.81% increase in agricultural income compared to the base scenario, making it the most favorable option for balancing water conservation and economic gains. The findings of this study demonstrate that the proposed multi-objective linear programming model can play a crucial role in promoting sustainable agricultural management. Originality/Value: The results indicate that significant reductions in water consumption can be achieved solely by adjusting cropping patterns, while simultaneously leading to a notable increase in agricultural income. This highlights the potential of optimized crop planning as a practical and effective strategy for improving resource efficiency and economic sustainability in agriculture.