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Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants.

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Title: Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants.
Authors: Mishra, Puneet1, puneet.mishra@wur.nl, Sadeh, Roy2, Bino, Ehud2, Polder, Gerrit3, Boer, Martin P.4, Rutledge, Douglas N.5,6, Herrmann, Ittai2
Source: Computers & Electronics in Agriculture; Jul2021, Vol. 186, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 150874852
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants.
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electronics+in+Agriculture%22">Computers & Electronics in Agriculture</searchLink>; Jul2021, Vol. 186, pN.PAG-N.PAG, 1p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.compag.2021.106226
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants.
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            NameFull: Mishra, Puneet
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            NameFull: Sadeh, Roy
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            NameFull: Bino, Ehud
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            NameFull: Polder, Gerrit
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            NameFull: Boer, Martin P.
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            NameFull: Rutledge, Douglas N.
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            – D: 01
              M: 07
              Text: Jul2021
              Type: published
              Y: 2021
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              Value: 186
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            – TitleFull: Computers & Electronics in Agriculture
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