Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning ; volume:20 ; number:1 ; day:16 ; month:7 ; year:2024 ; pages:1-17 ; date:12.2024
Plant methods ; 20, Heft 1 (16.7.2024), 1-17, 12.2024
- Urheber
-
Guo, Zhonghui
Cai, Dongdong
Zhou, Yunyi
Xu, Tongyu
Yu, Fenghua
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13007-024-01232-0
- URN
-
urn:nbn:de:101:1-2410091008183.490464021553
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Guo, Zhonghui
- Cai, Dongdong
- Zhou, Yunyi
- Xu, Tongyu
- Yu, Fenghua
- SpringerLink (Online service)
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