Just-in-Time Learning-Integrated Partial Least-Squares Strategy for Accurately Predicting 71 Chemical Constituents in Chinese Tobacco by Near-Infrared Spectroscopy

[Image: see text] Near-infrared spectroscopy has been widely used to characterize the chemical composition of tobacco because it is fast, economical, and nondestructive. However, few predictive models perform ideally when applied to large spectral libraries of tobacco and its various chemical indica...

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Detalles Bibliográficos
Autores principales: Liang, Youyan, Zhao, Le, Guo, Junwei, Wang, Hongbo, Liu, Shaofeng, Wang, Luoping, Chen, Li, Chen, Mantang, Zhang, Nuohan, Liu, Huimin, Nie, Cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631892/
https://www.ncbi.nlm.nih.gov/pubmed/36340111
http://dx.doi.org/10.1021/acsomega.2c04139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631892/
https://www.ncbi.nlm.nih.gov/pubmed/36340111
http://dx.doi.org/10.1021/acsomega.2c04139

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