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Sepahvand, Hooman, Ghahderijani, Mohammad, Almassi, Morteza. (1404). A holistic approach to enhancing economic productivity via sustainable vegetable farming. , 13(2), 423-433. doi: 10.22069/ijerr.2025.23538.1500
Hooman Sepahvand; Mohammad Ghahderijani; Morteza Almassi. "A holistic approach to enhancing economic productivity via sustainable vegetable farming". , 13, 2, 1404, 423-433. doi: 10.22069/ijerr.2025.23538.1500
Sepahvand, Hooman, Ghahderijani, Mohammad, Almassi, Morteza. (1404). 'A holistic approach to enhancing economic productivity via sustainable vegetable farming', , 13(2), pp. 423-433. doi: 10.22069/ijerr.2025.23538.1500
Sepahvand, Hooman, Ghahderijani, Mohammad, Almassi, Morteza. A holistic approach to enhancing economic productivity via sustainable vegetable farming. , 1404; 13(2): 423-433. doi: 10.22069/ijerr.2025.23538.1500

A holistic approach to enhancing economic productivity via sustainable vegetable farming

Environmental Resources Research
دوره 13، شماره 2، دی 2025، صفحه 423-433    اصل مقاله (519.95 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22069/ijerr.2025.23538.1500
نویسندگان
Hooman Sepahvand1؛ Mohammad Ghahderijani* 2؛ Morteza Almassi1
1Department of Agricultural systems engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2Department of Agricultural systems engineering, Science and Research branch, Islamic Azad, Tehran, Iran.
چکیده
Khuzestan province’s agricultural sector faces significant challenges due to substantial waste in producing major vegetables and summer crops, driven by supply demands from neighboring regions. This study examines key factors contributing to post-harvest waste across the supply chain, from farm to table. Data collected via questionnaires from 30 stakeholders were analyzed using statistical methods, revealing that packaging, transportation, and storage duration critically influence waste levels. In the second phase, an index-based approach evaluated human resource productivity, focusing on partial productivity measures. Additionally, simple linear programming and fuzzy linear programming techniques optimized energy use, revealing that labor costs dominate expenses, followed by machinery, with human and capital inputs constituting 70% of total costs. Findings suggest that smaller production units can enhance energy efficiency through expanded operational areas, while larger units can improve performance via better resource management. These insights can inform policies aimed at waste reduction, improved logistics, and energy-efficient technologies, thereby boosting productivity and ensuring the sustainability of Khuzestan’s agriculture.
کلیدواژه‌ها
Agricultural sustainability؛ Energy optimization؛ Post-harvest waste؛ Supply chain
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