Comparative analysis of data preprocessing methods and machine learning models for geographical origin prediction in an imbalanced Panax notoginseng dataset using near-infrared spectroscopy
XueFeng Cheng,
Abudhahir Buhari,
Juan Liu
Abstract:This study explores the application of near-infrared spectroscopy (NIRS) and machine learning to accurately determine the geographical origin of Panax notoginseng (P. notoginseng), a critical component in traditional Chinese medicine. Given the complexity of P. notoginseng geographical origin identification, especially in the face of imbalanced datasets, the study systematically evaluates a range of data preprocessing methods, including autocorrelation, data standardization, Multiplicative Scatter Correction (… Show more
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