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Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform


Type:
Article
Title:
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform
Creator:
Brewer, K.;
Clulow, A.D.;
Clulow, A.D.
ORCID iD iconhttps://orcid.org/0000-0001-8803-8780
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Sibanda, M.;
Sibanda, M.
ORCID iD iconhttps://orcid.org/0000-0002-4589-7099
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Gokool, S.;
Odindi, J.;
Mutanga, O.;
Mutanga, O.
ORCID iD iconhttps://orcid.org/0000-0002-7358-8111
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Naiken, V.;
Chimonyo, V.G.P.;
Chimonyo, V.G.P.
ORCID iD iconhttps://orcid.org/0000-0001-9912-9848
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Mabhaudhi, T.
Mabhaudhi, T.
ORCID iD iconhttps://orcid.org/0000-0002-9323-8127
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Year:
2022
URI:
https://hdl.handle.net/10883/22168
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:
Drones
Journal volume:
6
Journal issue:
7
Article number:
169
DOI:
10.3390/drones6070169
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
Citation:
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform. 2022. 6 (7) DOI: 10.3390/drones6070169 MDPI.

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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