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The Application of the OPTICS Algorithm in the Maize Precise Fertilization Decision-Making

Abstract : With the development of computer science and information technology, data mining technology in the field of agriculture in recent years has become a hot research. Corn planting process, rational fertilization can effectively promote the growth of corn, however, no basis and targeted fertilization may cause shortage of low fertility soil fertilization, high fertility soil fertilization overdose. To solve this problem, In this paper, cluster analysis OPTICS algorithm based on density of soil classification, and press the nutrient balance method to calculate the level of soil fertility for each corresponding amount of fertilizer, farmers can be targeted based on fertilizer fertilization. In the town of Yushu City, Jilin Province by Gongpeng for application, compared with the traditional fertilization, fertilizer input savings of 20.5 %, maize yield of about 10 %, not only to meet the needs of farmers, but also achieve a reduction in fertilizer inputs, increase production purposes.
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Guowei Wang, Yu Chen, Jian Li, Yunpeng Hao. The Application of the OPTICS Algorithm in the Maize Precise Fertilization Decision-Making. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.317-324, ⟨1010.1007/978-3-319-48357-3_31⟩. ⟨hal-01557832⟩

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