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Commentary on Application of Data Mining in Fruit Quality Evaluation

文献类型： 外文期刊

作者： Hou, Jinjian 1 ; Wang, Dong 2 ; Jia, Wenshen 2 ; Pan, Ligang 1 ;

作者机构： 1.China Three Gorges Univ, Yichang 443002, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing 100097, Peoples R China

3.Minist Agr, Risk Assessment Lab Agroprod, Beijing 100097, Peoples R China

关键词： Fruit quality;Data mining;Fuzzy evaluation;Analytic hierarchy process;Principal component cluster analysis

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT II

ISSN： 1868-4238

年卷期： 2016 年 479 卷

页码：

收录情况： SCI

摘要： In order to provide reference for the fruit quality research and fruit selective breeding, in this paper, data mining methods of fruit quality in recent years, including fuzzy comprehensive evaluation method, analytic hierarchy process method, gray correlation degree analysis method and so on, which were compared for the characteristics of advantages and disadvantages. Furtherly, the main evaluation factors of the common fruits were summarized. Finally, the research on data mining methods of the fruit quality was summarized and prospected. This review indicated that data mining methods could evaluate multi-index of fruit quality comprehensively, which will provide reference for rapid detection of fruit quality and cultivation of the excellent species. Meanwhile, it will be a new direction in the field of fruit quality research by studying more main factors of fruit quality and simplifying the evaluation procedures in the near future.

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[1]Commentary on Application of Data Mining in Fruit Quality Evaluation. Jinjian Hou,Dong Wang,Wenshen Jia,Ligang Pan. 2016

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