A black tea quality testing method for scale production using CV and NIRS with TCN for spectral feature extraction
To rigorously assess black tea quality in large-scale production, this study introduces a multi-modal fusion approach integrating computer vision (CV) with Near-Infrared Spectroscopy (NIRS). CV technology is first applied to evaluate the tea's appearance quality, while NIRS quantifies key chemi...
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Veröffentlicht in: | Food chemistry 2025-02, Vol.464 (Pt 1), p.141567, Article 141567 |
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Sprache: | eng |
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