UAV remote sensing for high-throughput phenotyping and for yield prediction of Miscanthus by machine learning techniques
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Remote sensing, 14 (2022), 12, 2927. https://doi.org/10.3390/rs14122927. ISSN: 2072-4292
In: Remote sensing
In: 14
In: 12
In: 2072-4292
- Event
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Veröffentlichung
- (where)
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Hohenheim
- (who)
-
Universität Hohenheim
- (when)
-
2022
- Creator
-
Impollonia, Giorgio
Croci, Michele
Ferrarini, Andrea
Brook, Jason
Martani, Enrico
Blandinières, Henri
Marcone, Andrea
Awty-Carroll, Danny
Ashman, Chris
Kam, Jason
Kiesel, Andreas
Trindade, Luisa M.
Boschetti, Mirco
Clifton-Brown, John
Amaducci, Stefano
- DOI
-
10.3390/rs14122927
- URN
-
urn:nbn:de:101:1-2411270124031.399359636034
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 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
- Impollonia, Giorgio
- Croci, Michele
- Ferrarini, Andrea
- Brook, Jason
- Martani, Enrico
- Blandinières, Henri
- Marcone, Andrea
- Awty-Carroll, Danny
- Ashman, Chris
- Kam, Jason
- Kiesel, Andreas
- Trindade, Luisa M.
- Boschetti, Mirco
- Clifton-Brown, John
- Amaducci, Stefano
- Universität Hohenheim
Time of origin
- 2022
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