基于聚类分析的数据挖掘技术及其农业应用研究进展
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新疆杏产业技术体系专项资金项目(XJCYTX-03)


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

    基于聚类分析的数据挖掘技术能够推动农业的精准生产、精细管理和精准营销,对于实现农业的智能机械化、精准化,进而促进农业的高效化和现代化具有重要价值。首先对基于聚类分析的数据挖掘技术内涵及方法体系作了阐述,包括特征选择及特征提取、距离度量、聚类算法分类、聚类性能评价指标4方面;进而梳理了目前聚类分析在农业领域的动植物遗传繁育数据挖掘、农田分区精准管理、农产品品质评价、农产品市场细分、农户异质性分析与精准服务5大方向中的应用研究,最后对农业领域的聚类分析进行了总结与展望。

    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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冯建英,石岩,王博,穆维松.基于聚类分析的数据挖掘技术及其农业应用研究进展[J].农业机械学报,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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  • 在线发布日期: 2022-11-10
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