The level of cultivated land fertility (CLF) determines food production and quality directly. Therefore, research on evaluating CLF has always been a focus of attention in Chinese academia. Aiming at shortcomings of methods for evaluating CLF presently, this paper proposes an integrated method to evaluate and grade the CLF-adopted GIS, Delphi, analytic hierarchy process (AHP), fuzzy mathematics and comprehensive index model. Furthermore, based on data of the survey project of CLF in Huaping, this paper carried out an empirical study using this method. The result demonstrates that the methods are more scientific and reliable. This is reflected in the following aspects: First, the process of evaluation and grading of CLF is combined with qualitative analysis and quantitative analysis, which make the results more close to the objective reality. Second, the results of the evaluation and grading not only achieved a match between quantitative expression and spatial visualization, but also demonstrated the differences of CLF in quantity and space. Through this study, we hope that this method can further enrich the theory and technology of CLF evaluation to some extent, and also provide a good reference for similar study in other regions.