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Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion


Type:
Article
Title:
Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion
Creator:
Zhang, S.H.;
Duan, J.Z.;
He, L.;
Jing, Y.H.;
Schulthess, U.;
ORCID iD icon
Schulthess, U.
ORCID iD iconhttps://orcid.org/0000-0002-9642-9762
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Lashkari, A.;
Lashkari, A.
ORCID iD iconhttps://orcid.org/0000-0002-2080-7413
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Tiancai Guo;
Yonghua Wang;
Wei Feng
Year:
2022
URI:
https://hdl.handle.net/10883/22091
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:
Acta Agronomica Sinica (China)
Journal volume:
48
Journal issue:
7
Pages:
1746-1760
DOI:
10.3724/SP.J.1006.2022.11053
Place of Publication:
China
Publisher:
Institute of Crop Sciences
Citation:
Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion. 2022. 48 (7) DOI: 10.3724/SP.J.1006.2022.11053 Institute of Crop Sciences.

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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