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

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

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Abstract Color is one of the most important indicators to characteristic the quality of tobacco, which is strongly related to the variations of chemical components. In order to clarify the relationship between the changes of tobacco color and chemica

Externí odkaz: https://doaj.org/article/f6f1d9c3d5364b72b13f13de15dad8c1

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

Autor: Meng, Yang¹ (AUTHOR), Xu, Qiang¹ (AUTHOR), Chen, Guangqing² (AUTHOR), Liu, Jianjun² (AUTHOR), Zhou, Shuoye² (AUTHOR), Zhang, Yanling¹ (AUTHOR), Wang, Aiguo¹ (AUTHOR), Wang, Jianwei¹ (AUTHOR), Yan, Ding³ (AUTHOR), Cai, Xianjie³ (AUTHOR), Li, Junying⁴ (AUTHOR), Chen, Xuchu⁴ (AUTHOR), Li, Qiuying⁵ (AUTHOR), Zeng, Qiang⁵ (AUTHOR), Guo, Weimin^1,6,7 (AUTHOR) guoweimin1984@sina.com, Wang, Yuanhui^6,7,8 (AUTHOR) wangyuanhui2014@haut.edu.cn

Publikováno v: Scientific Reports. 11/7/2024, Vol. 14 Issue 1, p1-16. 16p.