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基于聚類分析的數據挖掘技術及其農業(yè)應用研究進展
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新疆杏產業(yè)技術體系專項資金項目(XJCYTX-03)


Cluster Analysis in Data Mining and Its Application in Agriculture
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    摘要:

    基于聚類分析的數據挖掘技術能夠推動農業(yè)的精準生產,、精細管理和精準營銷,對于實現農業(yè)的智能機械化,、精準化,,進而促進農業(yè)的高效化和現代化具有重要價值。首先對基于聚類分析的數據挖掘技術內涵及方法體系作了闡述,,包括特征選擇及特征提取,、距離度量、聚類算法分類,、聚類性能評價指標4方面,;進而梳理了目前聚類分析在農業(yè)領域的動植物遺傳繁育數據挖掘、農田分區(qū)精準管理,、農產品品質評價,、農產品市場細分、農戶異質性分析與精準服務5大方向中的應用研究,,最后對農業(yè)領域的聚類分析進行了總結與展望,。

    Abstract:

    Data mining technology based on cluster analysis can promote the precision production, fine management, and precise marketing of agriculture, which is of great value to realize the precision of agriculture and then promote the efficiency and modernization of agriculture. The connotation and methodological system of data mining technology based on cluster analysis were reviewed, including feature selection and feature extraction, distance metric, clustering algorithm classification, and clustering performance evaluation index;and then the current research on the application of cluster analysis in five major directions of agriculture—plant and animal genetic breeding data mining,precision management of farmland zoning, agricultural product quality evaluation, market segmentation of agricultural products, and farmer heterogeneity analysis were combed;finally, a summary of cluster analysis in agriculture was presented, and an outlook was given based on the actual needs in agriculture and the development of cluster analysis technology, which provided insight into the theoretical research and in-depth application of clustering technology in agriculture.

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馮建英,石巖,王博,穆維松.基于聚類分析的數據挖掘技術及其農業(yè)應用研究進展[J].農業(yè)機械學報,2022,53(s1):201-212. FENG Jianying, SHI Yan, WANG Bo, MU Weisong. Cluster Analysis in Data Mining and Its Application in Agriculture[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(s1):201-212.

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  • 收稿日期:2022-06-05
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  • 在線發(fā)布日期: 2022-11-10
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