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Identification of pesticide varieties by detecting characteristics of Chlorella pyrenoidosa using Visible/Near infrared hyperspectral imaging and Raman microspectroscopy technology.

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第一作者： Yongni,Shao

第一单位： College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China; Institute of Photonics and Bio-Medicine, Graduate School of Science, East China University of Science and Technology, Shanghai, China.

作者： Yongni,Shao ^[1] ; Yuan,Li ^[2] ; Linjun,Jiang ^[2] ; Jian,Pan ^[2] ; Yong,He ^[3] ; Xiaoming,Dou ^[4]

作者单位： College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China; Institute of Photonics and Bio-Medicine, Graduate School of Science, East China University of Science and Technology, Shanghai, China. ^[1] College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China. ^[2] College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China. Electronic address: yhe@zju.edu.cn. ^[3] Institute of Photonics and Bio-Medicine, Graduate School of Science, East China University of Science and Technology, Shanghai, China. Electronic address: xiaomingdou@yeah.net. ^[4]

关键词 Linear discriminant analysis Pesticide varieties Raman microspectroscopy Successive projections algorithm Visible/Near-infrared hyperspectral imaging

医学主题词算法(Algorithms);小球藻属(Chlorella);判别分析(Discriminant Analysis);最小二乘法分析(Least-Squares Analysis);微藻类(Microalgae);农药(Pesticides);谱学, 近红外线(Spectroscopy, Near-Infrared)

DOI 10.1016/j.watres.2016.08.042

PMID 27579872

发布时间 2017-08-13

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准确一般字义偏差语意偏离译文作用小提交