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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 R; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia., Nguyen VD; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia., Burge T; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia., Berkowitz O; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia., Trtílek M; Photon Systems Instruments plant phenotyping research centre, Photon System Instruments, 664 24 Drasov, Brno, Czech Republic., Whelan J; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia. Electronic address: j.whelan@latrobe.edu.au., Lewsey MG; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia., Čustović E; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.
Source: Trends in plant science [Trends Plant Sci] 2022 Mar; Vol. 27 (3), pp. 301-315. Date of Electronic Publication: 2022 Jan 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review
Journal Info: Publisher: Elsevier Science, Ltd Country of Publication: England NLM ID: 9890299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4372 (Electronic) Linking ISSN: 13601385 NLM ISO Abbreviation: Trends Plant Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Applications of hyperspectral imaging in plant phenotyping.
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  Data: <searchLink fieldCode="AU" term="%22Sarić+R%22">Sarić R</searchLink>; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.<br /><searchLink fieldCode="AU" term="%22Nguyen+VD%22">Nguyen VD</searchLink>; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.<br /><searchLink fieldCode="AU" term="%22Burge+T%22">Burge T</searchLink>; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.<br /><searchLink fieldCode="AU" term="%22Berkowitz+O%22">Berkowitz O</searchLink>; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.<br /><searchLink fieldCode="AU" term="%22Trtílek+M%22">Trtílek M</searchLink>; Photon Systems Instruments plant phenotyping research centre, Photon System Instruments, 664 24 Drasov, Brno, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Whelan+J%22">Whelan J</searchLink>; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia. Electronic address: j.whelan@latrobe.edu.au.<br /><searchLink fieldCode="AU" term="%22Lewsey+MG%22">Lewsey MG</searchLink>; Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.<br /><searchLink fieldCode="AU" term="%22Čustović+E%22">Čustović E</searchLink>; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.
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  Data: <searchLink fieldCode="JN" term="%229890299%22">Trends in plant science</searchLink> [Trends Plant Sci] 2022 Mar; Vol. 27 (3), pp. 301-315. <i>Date of Electronic Publication: </i>2022 Jan 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%2C+Ltd%22">Elsevier Science, Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9890299 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-4372 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213601385%22">13601385 </searchLink><i>NLM ISO Abbreviation: </i>Trends Plant Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.tplants.2021.12.003
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      – Code: eng
        Text: English
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              Text: 2022 Mar
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              Y: 2022
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