Determining the Optimal Cropping Pattern with Emphasis on Proper Use of Sustainable Agricultural Disruptive Inputs: Application of Robust Multi-Objective Linear Fractional Programming

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Mardani Najafabadi Mostafa; Abdeshahi Abas; Shirzadi Laskookalayeh Somayeh

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Journal: Journal of Agricultural Science and Sustainable Production Year:2020 | Volume:30 | Issue:1 Page(s): 241-256

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Title

Determining the Optimal Cropping Pattern with Emphasis on Proper Use of Sustainable Agricultural Disruptive Inputs: Application of Robust Multi-Objective Linear Fractional Programming

Author(s)

Mardani Najafabadi Mostafa | Abdeshahi Abas | Shirzadi Laskookalayeh Somayeh | Issue Writer Certificate

Keywords

Linear Fractional ProgrammingQ1

Optimal Cropping PatternQ1

Robust Multi-Objective ModelQ1

Sustainable Agriculture & UncertaintyQ1

Abstract

One of the challenges in developing of sustainable agriculture is the non-optimal and excessive use of disruptive inputs of sustainable agriculture. The purpose of this study was to optimize the cropping pattern in the lands of drainage and Irrigation network of Mianab-e-Shooshtar with an emphasis on reducing the use of chemical fertilizers and pesticides. For this purpose, the multiobjective fractional linear programming method was used without and with considering uncertainty (scenarios 1 and 2, respectively) via robust optimization. Data were collected from Agricultural Jihad Organization, Water and Power Organization of Khuzestan and the Utilization Company of Karun Irrigation Networks in 2017-2018 cropping year. The results showed that in the second scenario, the amount of fertilizer, pesticides, crop area and irrigation water consumption decreased by 17, 15, 8 and 1. 1 percent, respectively. It was also found that increasing the system's protection against uncertainty, decreases the use of fertilizers and chemical pesticides. Therefore, the optimal cultivation pattern of robust multi-objective Linear Fractional Programming method should be recommended to farmers.

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APA: Copy

Mardani Najafabadi, Mostafa, Abdeshahi, Abas, & Shirzadi Laskookalayeh, Somayeh. (2020). Determining the Optimal Cropping Pattern with Emphasis on Proper Use of Sustainable Agricultural Disruptive Inputs: Application of Robust Multi-Objective Linear Fractional Programming. JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCE), 30(1 ), 241-256. SID. https://sid.ir/paper/407548/en

Vancouver: Copy

Mardani Najafabadi Mostafa, Abdeshahi Abas, Shirzadi Laskookalayeh Somayeh. Determining the Optimal Cropping Pattern with Emphasis on Proper Use of Sustainable Agricultural Disruptive Inputs: Application of Robust Multi-Objective Linear Fractional Programming. JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCE)[Internet]. 2020;30(1 ):241-256. Available from: https://sid.ir/paper/407548/en

IEEE: Copy

Mostafa Mardani Najafabadi, Abas Abdeshahi, and Somayeh Shirzadi Laskookalayeh, “Determining the Optimal Cropping Pattern with Emphasis on Proper Use of Sustainable Agricultural Disruptive Inputs: Application of Robust Multi-Objective Linear Fractional Programming,” JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCE), vol. 30, no. 1 , pp. 241–256, 2020, [Online]. Available: https://sid.ir/paper/407548/en

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