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Zhang, Liu, Sun, Heng, Rao, Zhenhong, Ji, Haiyan (2020) Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 229. 117973 doi:10.1016/j.saa.2019.117973

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Reference TypeJournal (article/letter/editorial)
TitleHyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsZhang, LiuAuthor
Sun, HengAuthor
Rao, ZhenhongAuthor
Ji, HaiyanAuthor
Year2020 (March)Volume229
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2019.117973Search in ResearchGate
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Mindat Ref. ID16401723Long-form Identifiermindat:1:5:16401723:8
GUID0
Full ReferenceZhang, Liu, Sun, Heng, Rao, Zhenhong, Ji, Haiyan (2020) Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 229. 117973 doi:10.1016/j.saa.2019.117973
Plain TextZhang, Liu, Sun, Heng, Rao, Zhenhong, Ji, Haiyan (2020) Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 229. 117973 doi:10.1016/j.saa.2019.117973
In(2020) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 229. Elsevier BV

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