High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
-
High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data ; volume:19 ; number:1 ; day:26 ; month:8 ; year:2023 ; pages:1-13 ; date:12.2023
Plant methods ; 19, Heft 1 (26.8.2023), 1-13, 12.2023
- Creator
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Ranđelović, Predrag
Đorđević, Vuk
Miladinović, Jegor
Prodanović, Slaven
Ćeran, Marina
Vollmann, Johann
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13007-023-01054-6
- URN
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urn:nbn:de:101:1-2023110710185848612340
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ranđelović, Predrag
- Đorđević, Vuk
- Miladinović, Jegor
- Prodanović, Slaven
- Ćeran, Marina
- Vollmann, Johann
- SpringerLink (Online service)
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