Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content ; volume:14 ; number:1 ; day:15 ; month:4 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (15.4.2024), 1-14, 12.2024
- Urheber
-
Fernandes, Marcia Helena Machado da Rocha
FernandesJunior, Jalme de Souza
Adams, Jordan Melissa
Lee, Mingyung
Reis, Ricardo Andrade
Tedeschi, Luis Orlindo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-59160-x
- URN
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urn:nbn:de:101:1-2406272117404.571224146144
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:51 MESZ
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Beteiligte
- Fernandes, Marcia Helena Machado da Rocha
- FernandesJunior, Jalme de Souza
- Adams, Jordan Melissa
- Lee, Mingyung
- Reis, Ricardo Andrade
- Tedeschi, Luis Orlindo
- SpringerLink (Online service)
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