AgriGAN: unpaired image dehazing via a cycle-consistent generative adversarial network for the agricultural plant phenotype
- 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
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AgriGAN: unpaired image dehazing via a cycle-consistent generative adversarial network for the agricultural plant phenotype ; volume:14 ; number:1 ; day:1 ; month:7 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (1.7.2024), 1-11, 12.2024
- Urheber
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Ding, Jin-Ting
Peng, Yong-Yu
Huang, Min
Zhou, Sheng-Jun
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-65540-0
- URN
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urn:nbn:de:101:1-2409201058019.724080250002
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
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Beteiligte
- Ding, Jin-Ting
- Peng, Yong-Yu
- Huang, Min
- Zhou, Sheng-Jun
- SpringerLink (Online service)
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