To provide technical support and ADM (aid in decision making) for wheat production management and potentiality mining, attribute data (meteorological data, soil data, wheat data) and spatial data were sorted out at eight counties of Henan Province based on the evaluation process about crop natural potential productivity, and space-attribute database was created. The evaluation system of GIS-based wheat natural potential productivity was designed and developed by using UML 2.0, SQL Server 2000 and SuperMap GIS 2008 components, which realized loose coupling between the potential productivity evaluation model interfaces and GIS. The system calculated quantificationally wheat natural potential productivity at county scale by using mechanism models of light, temperature, water, soil based on ‘experience-statistics’, and made the spatial distribution thematic maps of wheat natural potential productivity through classification statistics and grading cartography. The results showed that photosynthesis potential productivity reduced along with latitude increasing, the order of temperature potential productivity was west＞south＞southeast＞north＞center, the order of moisture potential productivity was south＞southeast＞west＞center＞north, and the order of soil potential productivity was south＞center＞north＞southeast＞west of Henan Province. The key factors affecting wheat natural potential productivity were soil, followed by temperature and moisture, and the factors affecting wheat relative production mining magnitude were moisture, followed by temperature and soil. The system has characteristics about wide applicability and good independence, which provides technical support and ADM for wheat production management and potential mining.