Soil is one of the most important resources for agricultural production, and its potential and capacity play a decisive role in crop yields. Land suitability evaluation is a key process in land use planning and an effective approach to ensure the appropriateness of soil for producing various crops. In the present study, the optimization of the cropping pattern of field crops in the Qazvin Plain was investigated with economic, social, environmental, and food security objectives, based on the results of land suitability evaluation and by employing a multi-objective fuzzy nonlinear programming model. The results of the model implementation and trade-off analysis among the objectives showed that the groups of cereals and forage crops (which account for 93 percent of the cropping pattern in the plain) experienced a decrease and an increase in cultivated area, respectively. Among the crops, the decrease in the cultivated area of rice and the increase in the cultivated area of sorghum and tomato were significant. The achievements of the proposed pattern include an 18.1% increase in net economic profit, a 2% reduction in water consumption, a 2.7% increase in production energy (food security index), a 0.5% increase in employment, and a 0.6% reduction in environmental impacts.