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This paper introduces spatial data mining technique especially decision tree algorithm applying to agriculture land grading. The idea is to combine spatial data mining/decision tree techniques with expert system techniques and apply them to establish an intelligent agriculture land grading information system. The author adopt decision tree c4.5 algorithm and implement with Mo2.0 and VC++6.0 to build agriculture land grading expert system. Also, an experiment is presented to show the particular advantages of this methodology in addressing problems in land grading such as missing land information, difficulties in quantitative analysis of factors.