Location of greenhouses for optimization in agriculture with sustainable development approach (Case study: Asadabad plain)

Subject Areas : GIS

Abouzar Ramezani ¹ ( Assistant Professor of GIS, Department of Engineering, Sayyed Jamaleddin Asadabadi University, Hamadan, Asadabad, Hamzeie Blvd, Rezaeian Blvd, Postal Code: 6541861841. *(Corresponding Author) )
Moslem Darvishi ² ( Lecturer of Geomatics, Department of Engineering, Sayyed Jamaleddin Asadabadi University. )
Davod Nejat ³ ( Lecturer of Geomatics, Department of Engineering, Sayyed Jamaleddin Asadabadi University. )

Received: 2021-08-31 Accepted : 2023-08-23 Published : 2023-09-23

Keywords: location, greenhouse, sustainable development, optimization, agriculture.,

Abstract :

Backgeround and Objective: Greenhouse refers to a limited space that has the ability to control the appropriate environmental conditions for the growth of plants in different areas during different seasons of the year. Rapid economic and cultural growth, population growth, soil and water constraints, the community's need for food, the existence of large consumer markets and the interest in producing off-season crops in recent years have led to the development of greenhouse crops. But choosing the wrong place to build a greenhouse leads to a waste of capital and the failure of these goals. The purpose of this study is to find the optimal location of the greenhouse in Asadabad plain with a sustainable development approach. Material and Methodology: Due to the existence of numerous and effective parameters –for the performance of greenhouses, the technique of multi-criteria analysis has been used to find a suitable location. Also, due to the uncertainty in the behavior of natural parameters, fuzzy logic has been used to model the effect of the parameters. Findings: The results show that of the total area of Asadabad plain, 10% are in a very good condition, 39% are in a good condition (suitable with restrictions) and 51% are in a bad condition in terms of greenhouse construction. Discussion and Conclusion: Relying on spatial analysis can reduce the investment risk for greenhouses and lead to environmental sustainability.

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