The Research And Application Based On Classification Algorithm Of Decision Tree

With the development of the economy and the growth of population, the input-output-rate of soil continues to increase. Precision agriculture mainly solves the problem that how to improve the output of soil with fixed investment.Data Mining is committed to solve and find the hidden potential value of information from the massive of data. And Rough Set is based on mathematical set, which provides a new method for Data Mining.This paper mainly focuses on the combination of rough set and decision tree. According to the fact that the fuzzy selection standards that the information system has more than one positive region which has rough set properties, it is studied in theory and practical. The study work is as follows:proposing the new attribute selection criteria and analyzing the feasibility of the proposed algorithm base on rough set theory and decision tree with the select attribute uncertain. Combined with DeHui City’s precision agriculture, it is proved that the method feasible which is through regional weighting algorithm comparing the cultivated land classification fertility result and the traditional algorithm result.