CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: Kim, EungChan
Hong, Suk-Ju
Kim, Sang-Yeon
Lee, Chang-Hyup
Kim, Sungjay
Kim, Hyuck-Joo
Kim, Ghiseok

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-25260-9

URN: urn:nbn:de:101:1-2023021320595965603198

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

Last update: 14.08.2025, 10:54 AM CEST

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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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CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques

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Other Objects (12)

Cropping and Fruit Quality of Plum (Prunus domestica) Varieties on Different Rootstocks in a Young Orchard

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A fruit quality gene map of Prunus

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Biochemical properties of polyphenol oxidase purified from Sarali plum (Prunus domestica)

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Enhancing CNN model classification performance through RGB angle rotation method

A fruit quality gene map of Prunus

Studies on Non-destructive Detection of fruit Maturity and on Postharvest Physiology of European Plum (Prunus domestica L)

Almond (Prunus dulcis) varieties classification with genetic designed lightweight CNN architecture

RGB-to-hyperspectral conversion for accessible melanoma detection: A CNN-based approach

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Chlorophyll Catabolites in Senescent Leaves of the Plum Tree (Prunus domestica)

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