Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics.

ABSTRACT: This study proposes a novel method that combines multispectral data fusion strategies with chemometric analysis for the origin traceability of Rizhao green tea. The research found significant differences in the sensory scores and key physicochemical components (catechins, caffeine, and amino acid content) between Rizhao green tea and tea from southern China. By integrating data from near-infrared and hyperspectral technologies, the prediction accuracy of multivariate models (including Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Random Forest (RF), and Convolutional Neural Networks (CNN)) was improved. The performance of the fused dataset outperformed single-spectral datasets. The study found significant spectral differences in tea samples from different region

SUBMITTER: Guo M 

PROVIDER: S-EPMC11982953 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature