Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Guo, Zhonghui
Cai, Dongdong
Zhou, Yunyi
Xu, Tongyu
Yu, Fenghua

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13007-024-01232-0

URN: urn:nbn:de:101:1-2410091008183.490464021553

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.12.2024, 6:31 AM CET

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Guo, Zhonghui
Cai, Dongdong
Zhou, Yunyi
Xu, Tongyu
Yu, Fenghua
SpringerLink (Online service)

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Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning

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