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Ren, Guangxin, Wang, Yujie, Ning, Jingming, Zhang, Zhengzhu (2020) Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 237. 118407 doi:10.1016/j.saa.2020.118407

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Reference TypeJournal (article/letter/editorial)
TitleUsing near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsRen, GuangxinAuthor
Wang, YujieAuthor
Ning, JingmingAuthor
Zhang, ZhengzhuAuthor
Year2020 (August)Volume237
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2020.118407Search in ResearchGate
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Mindat Ref. ID16402145Long-form Identifiermindat:1:5:16402145:7
GUID0
Full ReferenceRen, Guangxin, Wang, Yujie, Ning, Jingming, Zhang, Zhengzhu (2020) Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 237. 118407 doi:10.1016/j.saa.2020.118407
Plain TextRen, Guangxin, Wang, Yujie, Ning, Jingming, Zhang, Zhengzhu (2020) Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 237. 118407 doi:10.1016/j.saa.2020.118407
In(2020) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 237. Elsevier BV

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