Due to the rapid population growth and urban development which results in limited arable land, land evaluation for selecting optimum utilization of land and increase in production per unit area as well as purposeful decisions in allocation of agricultural

Due to the rapid population growth and urban development which results in limited arable land, land evaluation for selecting optimum utilization of land and increase in production per unit area as well as purposeful decisions in allocation of agricultural land to the best land use type is very important. In this paper, a crop land use allocation model is developed in which with the calculation of land suitability using fuzzy inference systems as well as demand determination and also consideration of crop rotation pattern, crop types within the agricultural area in the planning period are determined. The developed model is applied to Borkhar & Meymeh district in Isfahan province as a case study using GAMS 23.7, MATLAB and ArcGIS 9.3 softwares. Results of the crop allocation considering three existing crop rotation patterns showed that 27.82, 21.64, 7.27, 5.85, 7.36, 6.36 and 1.74 percent of agricultural areas were allocated to wheat, wheat-maize, barley, barley-maize, maize, alfalfa and potato, respectively for the year 2011. Also, spatial distribution of the crops allowed us to suggest that in order to have optimum production in the study area, southern part of the region is suitable for cultivation of wheat, barley and maize in double cropping systems while alfalfa and potato should be cultivated in northern parts of the region. The presented approach is found to be advantageous to determine the best crops for a given area and provide useful information for agricultural planners with the definition of various scenarios.