Today, crop models have been developed to products of strategic importance for precision agriculture management in the countries. The objective of this study was to generate the wheat suitability index (WSI) by using hybrid system that is including qualitative and quantitative reasons such as expert and sciencific knowledge weighted with analytic hierarchy process (AHP). This aproach was integrated into the GIS based on Linear Combination Teqnique in the study. For this purpose, the study was conducted in the field of wheat cultivation in Sogulca Basin with an area of 68.04 km(2) located on Central Anatolia Region of Turkey. We have selected 10 criteria as physical, chemical and topographical that affects wheat cultivation in the basin which has been divided into 47 land units according to thematic soil map. With the WSI model, 32.05% of the study area was classified as highly and moderately suitable whereas, 67.95% of the total study area has marginally and not suitable properties for wheat cultivation. According to results, the most effective factors on the last score values for WSI were found soil depth, texture and slope indicators. The score values of the WSI were compared with 5 years (2013-2017) yields and NDVI values for testing of the model and it has been determined that land classification for wheat has been done with high accuracy for yield r(2) = 0.83% and for NDVI r(2) = 0.78%. The results of the study showed that the WSI was found as convenient model in semi-arid climate condition. However, we suggest that the WSI model should also be tested in similar climatic conditions and in different soil types in order to be available as a general - pass index. In addition, using AHP with GIS capabilities, we have high capacity to the integration of heterogeneous data for determination and classification of suitability in the agriculture areas.