Determining the optimal cultivation pattern of agricultural products in Jiroft city with the approach of reducing pollution and water consumption

Subject Areas : Agriculture and Environment

Hamid Mohammadi ^{1 *} , Mohammadjavad Mehdizadeh rayeni ² , Vahid Dehbashi ³ , Abolghasem Bagheri ⁴

1 - Assistant Professor, Zabol University, Department of Agricultural Economics, Zabol, Iran. * (Corresponding Author)
2 - PhD student in Agricultural Economics, Zabol University, Zabol, Iran.
3 - Assistant Professor, Zabol University, Department of Agricultural Economics, Zabol, Iran.
4 - Assistant Professor, Department of Agricultural Economics, Payame Noor University, Tehran, Iran.

Received: 2021-08-27 Accepted : 2022-03-09 Published : 2023-03-21

Keywords: Water resources, Optimal Cultivation Pattern, Mathematical Planning, Environment, Jiroft,

Abstract :

Background and Objective: Improving the production system in the agricultural sector requires defining and implementing a model for crop cultivation, based on the country's macro policies, market structure, farmers' knowledge and regional and climatic potentials to protect the environment, reduce water consumption and achieve The economic benefits are sustainable. The purpose of this study is to apply the gray fuzzy planning model with an environmental approach and reduce water consumption in determining the optimal cultivation pattern in Jiroft. Material and Methodology: The present research is an applied research in terms of purpose, causal in terms of study method, and in terms of research method and nature and method of approach to inference. Gray planning is one of the methods of analyzing gray systems for decision making under uncertainty. Findings: The results showed that the area under potato cultivation between 5292 and 5328.7 hectares in the region can change. The area under onion cultivation can be changed between 1547 and 2349.9. The area under tomato cultivation between 530.6 and 985.4 hectares in the region can change. The area under watermelon cultivation can be changed between 129.5 and 240.5. The area under corn cultivation between 840 and 1560 hectares in the region can change. The area under alfalfa cultivation can be changed between 1204.7 and 22237.3. According to the mentioned restrictions and with the aim of maximum profit, the farmers of the region can cultivate 4910.1 hectares of wheat, 1644.5 hectares of barley and 2063.6 hectares of cucumbers. Discussion and Conclusion: Since the development of infrastructure services has a great impact on reducing resource constraints, paying attention to this issue regarding the optimal use of resources to increase the profitability of regional activities can be effective.

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