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Planning of Agricultural Crops Cultivation Using Spatial
Optimization Methods
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Hadi Esmailpour Estarkhi *   , Mohammad Karimi , Abbas Alimohammadi Sarabi , Kamran Davari |
| K.N.Toosi University of Technology |
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Abstract: (6249 Views) |
Population growth, limited usable agricultural lands, rapid changes in societies and land uses development, highlights the importance of proper planning for land use and cropping pattern optimization. The present study was carried out for agricultural crops cultivation planning using water requirement estimation and spatial optimization methods. The model was programmed into three sub-models. The objective of the first sub-model, was assessingthe crops water requirement. For this purpose, the meteorological observations collected from 16 high quality meteorological sites for a 20- year period (1985-2005). Objective of the second sub-model, was determining the land suitability for agricultural crops. To achieve this goal six criteria were considered. The criteria classified into two groups including climatic parameters and land characteristics. Finally objective of the third sub-model was cropping pattern Optimization by considering the maximum benefit and minimum consumable water in study region. In order to reach to this target, linear programming was used. Result of linear programming showed that due to water shortages in the region, Simultaneous cultivation of all parcel is not possible and about 40 percent of the parcel to remained fallow, in each year separately. Also in the optimal state surface of products such as potato, alfalfa and sunflower due to high water consumption, exposure of the
growing season in spring and summer and having lower gross margin were removed from the cropping pattern and wheat and barley crops constituted area under cultivation more than other products. |
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| Keywords: Water requirement, Landsuitability, Optimal cropping pattern, Linear programming, GIS. |
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Full-Text [PDF 1579 kb]
(6476 Downloads)
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Type of Study: Research |
Subject:
GIS
Received: 2017/10/7 | Accepted: 2017/10/7 | Published: 2017/10/7
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