CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques ; volume:12 ; number:1 ; day:2 ; month:12 ; year:2022 ; pages:1-16 ; date:12.2022
Scientific reports ; 12, Heft 1 (2.12.2022), 1-16, 12.2022
- Urheber
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Kim, EungChan
Hong, Suk-Ju
Kim, Sang-Yeon
Lee, Chang-Hyup
Kim, Sungjay
Kim, Hyuck-Joo
Kim, Ghiseok
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-022-25260-9
- URN
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urn:nbn:de:101:1-2023021320595965603198
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
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Beteiligte
- Kim, EungChan
- Hong, Suk-Ju
- Kim, Sang-Yeon
- Lee, Chang-Hyup
- Kim, Sungjay
- Kim, Hyuck-Joo
- Kim, Ghiseok
- SpringerLink (Online service)
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