From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning ; volume:6 ; number:7 ; day:11 ; month:7 ; year:2024 ; pages:1-29 ; date:7.2024
Discover applied sciences ; 6, Heft 7 (11.7.2024), 1-29, 7.2024
- Creator
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Mora, Juan Jose
Selvaraj, Michael Gomez
Alvarez, Cesar Ivan
Safari, Nancy
Blomme, Guy
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s42452-024-06073-z
- URN
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urn:nbn:de:101:1-2409282112292.526742082779
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:55 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
- Mora, Juan Jose
- Selvaraj, Michael Gomez
- Alvarez, Cesar Ivan
- Safari, Nancy
- Blomme, Guy
- SpringerLink (Online service)
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Management strategies for banana Xanthomonas wilt in Rwanda include mixing indigenous and improved cultivars
Engineering banana endosphere microbiome to improve Fusarium wilt resistance in banana
Comparing effectiveness, cost- and time-efficiency of control options for Xanthomonas wilt of banana under Rwandan agro-ecological conditions
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