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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...
Autores principales: | Liang, Youyan, Zhao, Le, Guo, Junwei, Wang, Hongbo, Liu, Shaofeng, Wang, Luoping, Chen, Li, Chen, Mantang, Zhang, Nuohan, Liu, Huimin, Nie, Cong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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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 |
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