Application of Geographic Informatic System (GIS) in land-planing managment has been well known among researchers for over 40 years, and for optimization of fertilization in agriculture it stareted to get recognized in the early 90s. GIS modeling in agriculture helps to identify site specific distribution of a certain charachteristic, and by creating theme maps which are associated with a database, you create a visual display of numerical information for a ceratin field site. Databases used in GIS modeling for sustainable crop selection and fertilizing optimization consists of records on agrochemical analysis of the soil both previous and current, previous crops, previous fertilizing recommendations and previous application of fertilizers. The database is adapted to the needs of modeling and objectivities of the research. In this research GIS modeling in sustainable crop selection and optimization of fertilization, combined the existing database of the project AGRI-CONTO-CLEEN, support systems in decision making (DSS), and the expertise of agronomists during field investigations. The aim of this study was to determine and visualy display needs for fertilization and liming on the plots Vinogradci and Berak, and use these results to choose the most suitable crop for cultivation on these plots, taking into account that these are two different soil types, acidic and alkaline. GIS modeling identified needs for liming on both farms and fertilizer recommendations as well as the need for organic fertilization on both farms in order to rationalize the cost of fertilizers and improve the soil quality, particularly on the Vinogradci farm. Also, planning crop production that is tolerant to low pH reaction of the soil, lowers the costs of liming as well. GIS modeling in sustainable crop selection and optimization of fertilization contribute to easier, faster and more informed decisions for the future agricultural production and helps to reduce negative stress on the environment.