Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm

<div>Validation results of the PCA-SVC model for medicinal centipedes: (a) calibration set; (b) prediction set. The red points represent validation results, and the blue points represent reference values.</div>

Journal of Spectroscopy

fig3

Figure 3

Figure 3: Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm 

Figure 3 | Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm 