Even low-cost hardware can give competitive discrimination when paired with suitable machine learning (ML) pipelines such as PLSDA, LDA, and PCA [ 26 ], while portable aroma sensors [ 27 ] and adaptive gas-feature networks for origin traceability [ 28 ] point to a clear trend toward compact, field-deployable instruments.
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Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning.
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