Regression prediction of tobacco chemical components during curing based on color quantification and machine learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Regression prediction of tobacco chemical components during curing based on color quantification and machine learning ; volume:14 ; number:1 ; day:7 ; month:11 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (7.11.2024), 1-16, 12.2024

Creator: Meng, Yang
Xu, Qiang
Chen, Guangqing
Liu, Jianjun
Zhou, Shuoye
Zhang, Yanling
Wang, Aiguo
Wang, Jianwei
Yan, Ding
Cai, Xianjie
Li, Junying
Chen, Xuchu
Li, Qiuying
Zeng, Qiang
Guo, Weimin
Wang, Yuanhui

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-78426-y

URN: urn:nbn:de:101:1-2501252132485.243617786263

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

Last update: 15.08.2025, 7:35 AM CEST

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Meng, Yang
Xu, Qiang
Chen, Guangqing
Liu, Jianjun
Zhou, Shuoye
Zhang, Yanling
Wang, Aiguo
Wang, Jianwei
Yan, Ding
Cai, Xianjie
Li, Junying
Chen, Xuchu
Li, Qiuying
Zeng, Qiang
Guo, Weimin
Wang, Yuanhui
SpringerLink (Online service)

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Regression prediction of tobacco chemical components during curing based on color quantification and machine learning

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Other Objects (12)

Analysis of the relationship between color and natural pigments of tobacco leaves during curing

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