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Applications of hyperspectral imaging in plant phenotyping.

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Title: Applications of hyperspectral imaging in plant phenotyping.
Authors: Sarić, Rijad1,2 (AUTHOR), Nguyen, Viet D.1,2 (AUTHOR), Burge, Timothy3 (AUTHOR), Berkowitz, Oliver1,3 (AUTHOR), Trtílek, Martin4 (AUTHOR), Whelan, James1,3 (AUTHOR) j.whelan@latrobe.edu.au, Lewsey, Mathew G.1,3 (AUTHOR), Čustović, Edhem2 (AUTHOR)
Source: Trends in Plant Science. Mar2022, Vol. 27 Issue 3, p301-315. 15p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 155091504
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Applications of hyperspectral imaging in plant phenotyping.
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  Data: <searchLink fieldCode="JN" term="%22Trends+in+Plant+Science%22">Trends in Plant Science</searchLink>. Mar2022, Vol. 27 Issue 3, p301-315. 15p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.tplants.2021.12.003
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 301
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      – TitleFull: Applications of hyperspectral imaging in plant phenotyping.
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            NameFull: Nguyen, Viet D.
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            NameFull: Burge, Timothy
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            NameFull: Berkowitz, Oliver
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            NameFull: Trtílek, Martin
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            NameFull: Whelan, James
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              Text: Mar2022
              Type: published
              Y: 2022
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          Titles:
            – TitleFull: Trends in Plant Science
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