نوع مقاله : علمی پژوهشی
نویسندگان
1 شرکت خصوصی
2 مرکز تحقیقات یزد
3 ایستگاه تحقیقات پسته اردکان
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Given the severe water scarcity in arid regions, optimizing greenhouse cropping patterns for simultaneous water management and income improvement is of great importance. The objective of this study was to determine an optimal cropping pattern for greenhouse vegetable production in Yazd City, Iran (31.8974° N, 54.3569° E), using a bi-objective linear programming approach. The study was conducted in a 2,000 m² greenhouse during the period from June 22 to September 22, 2025. Five greenhouse crops, including tomato, bell pepper, eggplant, cucumber, and zucchini, were evaluated under four different scenarios. A mathematical model was developed with two objective functions: minimizing water consumption and maximizing income, subject to constraints on greenhouse area, labor availability, budget, and allowable cultivation area for each crop. The model was solved using LINGO software. The results showed that Scenario 1 resulted in a water consumption of 1,176,500 L and an income of 827 million Iranian Rials, while Scenario 2 increased water consumption to 1,244,500 L and income to 847 million Iranian Rials. Scenario 3 achieved the lowest water consumption (1,103,240 L) but generated the lowest income (729.36 million Iranian Rials). Scenario 4 resulted in a water consumption of 1,263,000 L and an income of 839.4 million Iranian Rials. Considering the need to balance economic returns and water-resource management, Scenario 4 was identified as the preferred cropping pattern. This scenario allocated 900 m² to tomato, 500 m² to bell pepper, 250 m² to eggplant, 300 m² to cucumber, and 50 m² to zucchini. Compared with the baseline scenario, this pattern increased income by 1.5% while increasing water consumption by 7.35%.
کلیدواژهها [English]
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