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基于聚類分析的數(shù)據(jù)挖掘技術(shù)及其農(nóng)業(yè)應(yīng)用研究進(jìn)展
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新疆杏產(chǎn)業(yè)技術(shù)體系專項(xiàng)資金項(xiàng)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(shù)據(jù)挖掘技術(shù)能夠推動農(nóng)業(yè)的精準(zhǔn)生產(chǎn),、精細(xì)管理和精準(zhǔn)營銷,,對于實(shí)現(xiàn)農(nóng)業(yè)的智能機(jī)械化,、精準(zhǔn)化,進(jìn)而促進(jìn)農(nóng)業(yè)的高效化和現(xiàn)代化具有重要價(jià)值,。首先對基于聚類分析的數(shù)據(jù)挖掘技術(shù)內(nèi)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(jià)指標(biāo)4方面;進(jìn)而梳理了目前聚類分析在農(nóng)業(yè)領(lǐng)域的動植物遺傳繁育數(shù)據(jù)挖掘,、農(nóng)田分區(qū)精準(zhǔn)管理,、農(nóng)產(chǎn)品品質(zhì)評價(jià)、農(nóng)產(chǎn)品市場細(xì)分,、農(nóng)戶異質(zhì)性分析與精準(zhǔn)服務(wù)5大方向中的應(yīng)用研究,,最后對農(nóng)業(yè)領(lǐng)域的聚類分析進(jìn)行了總結(jié)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(shù)據(jù)挖掘技術(shù)及其農(nóng)業(yè)應(yīng)用研究進(jìn)展[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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