Research on Evaluation of Soil Fertilities of Farmland at County Level in Nongan Based on Data Mining

Abstract:

This research used the method of rough set and decision tree in data mining, building the evaluation model of soil fertility, to evaluate NongAn of Jilin province farmland productivity. Results show that the NongAn of arable land is divided into six grades, the fertility of grade one to six account for 6.77%, 14.29%, 23.78%, 23.51%, 20.13%, and 11.54% respectively. The farmland productivity difference is significant. The evaluation model of the evaluation results are in conformity with actual farmland productivity NongAn, avoiding the evaluation differences caused by the subjective factor, can effectively improve the soil fertility level classification accuracy and objectivity.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1671-1674
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1671
• Online since: September 2014
• Authors: Li Ma*, Gui Fen Chen, Li Ying Cao, Yue Ling Zhao
• Keywords: Data Mining (DM), Decision Tree, Evaluation of Soil Fertilities of Farmland, Rough Set (RS)

References

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