Comparative study of indirect and direct feature extraction algorithms in classifying tea varieties using near-infrared spectroscopy
Tea, a globally cherished beverage, has become an integral part of daily life, particularly in China. Given the extensive variety of teas, each distinguished by unique price points, flavors, and health benefits, effective classification within the tea industry is crucial to address the diverse prefe...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Current Research in Food Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665927125000966 |
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