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Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images


Type:
Article
Title:
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images
Creator:
Xu Wang;
Xu Wang
ORCID iD iconhttps://orcid.org/0000-0002-7144-6865
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Silva, P.;
Bello, N.M.;
Singh, D.;
Singh, D.
ORCID iD iconhttps://orcid.org/0000-0001-5380-5257
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Evers, B.;
Mondal, S.;
ORCID iD icon
Mondal, S.
ORCID iD iconhttps://orcid.org/0000-0002-8582-8899
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Pinto Espinosa, F.;
ORCID iD icon
Pinto Espinosa, F.
ORCID iD iconhttps://orcid.org/0000-0003-3000-9084
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Singh, R.P.;
ORCID iD icon
Singh, R.P.
ORCID iD iconhttps://orcid.org/0000-0002-4676-5071
ScopusScopus ID
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Poland, J.A.
Poland, J.A.
ORCID iD iconhttps://orcid.org/0000-0002-7856-1399
ScopusScopus ID
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Year:
2020
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Frontiers in Plant Science
Journal volume:
11
Article number:
587093
DOI:
10.3389/fpls.2020.587093
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. 2020. 11 DOI: 10.3389/fpls.2020.587093 Frontiers.

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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