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Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies

文献类型: 会议论文

第一作者: Yun-peng Cui

作者: Yun-peng Cui 1 ; Jian Wang 1 ; Shi-hong Liu 1 ; En-ping Liu 2 ; Hai-qing Liu 2 ;

作者机构: 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture, Beijing, People's Republic of China

2.Institute of Scientific and Technical Information, CATS/Key lab of Tropical Crops Information Technology Application Research of Hainan Province, Danzhou, People's Republic of China

关键词: Machine learning;Rice;Breeding;Decision support

会议名称: IFIP WG International Conference on Computer and Computing Technologies in Agricultur

主办单位:

页码: 54-64

摘要: The Objective of the study is to Analyze and mining rice breeding data with data explore and machine learning algorithms to discover how rice biological characters influence the economic characters, explore effective methods and technologies for breeders and help them find appropriate breeding parents, and provide tools for parental selection in rice breeding. The author developed a B/S application with Python and Django, which implement realtime data mining of rice breeding data. Data analysis and processing result generated from decision tree algorithm can find effective breeding knowledge and patterns, and spectral biclustering algorithm can find required varieties with their local features follow certain patterns. The system can help breeders find useful knowledge and patterns more quickly, and improves the accuracy and efficiency of crop breeding.

分类号: s126-532

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