“…Only high-quality fresh tea leaves can be used to process high quality tea (Pang et al, 2022). The quality of fresh tea leaves is not only related to its own genetic characteristics, but also closely related to the ecological factors of the origin of fresh tea leaves, such as latitude, altitude, slope, terrain and topography (Pan et al, 2022), and altitude is one of the most important ecological factors (Chen et al, 2010).…”
Near infrared spectroscopy (NIRS) combined with various chemometrics methods was tried to identify the fresh tea leaves at different altitudes quickly and nondestructively. Three kinds of samples were collected, then scanning NIRS, conducting spectral preprocessing to remove noise information, using backward interval partial least squares to screen characteristic spectral intervals, going on principal component analysis, respectively. Finally, least squares support vector machine method (LS-SVM) was applied to establish NIRS models, whose robustness was tested by prediction set samples. The best pretreated method was the combination of multivariate scattering correction and the first derivative. Six characteristic spectral intervals were screened, and the corresponding spectral wavenumbers were 4821.
“…Only high-quality fresh tea leaves can be used to process high quality tea (Pang et al, 2022). The quality of fresh tea leaves is not only related to its own genetic characteristics, but also closely related to the ecological factors of the origin of fresh tea leaves, such as latitude, altitude, slope, terrain and topography (Pan et al, 2022), and altitude is one of the most important ecological factors (Chen et al, 2010).…”
Near infrared spectroscopy (NIRS) combined with various chemometrics methods was tried to identify the fresh tea leaves at different altitudes quickly and nondestructively. Three kinds of samples were collected, then scanning NIRS, conducting spectral preprocessing to remove noise information, using backward interval partial least squares to screen characteristic spectral intervals, going on principal component analysis, respectively. Finally, least squares support vector machine method (LS-SVM) was applied to establish NIRS models, whose robustness was tested by prediction set samples. The best pretreated method was the combination of multivariate scattering correction and the first derivative. Six characteristic spectral intervals were screened, and the corresponding spectral wavenumbers were 4821.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.