Abstract
Based on the advantages of terahertz spectroscopy, this paper used terahertz spectroscopy and random forest to identify the origin of Panax quinquefolius. The extinction coefficients ranging from 0.2 to 1.3 THz were applied to establish random forest model. Principal component analysis was used to reduce the dimensionality of the original data and eliminate redundancy and noise. The genetic algorithm was employed to optimize the parameters of the classification model which achieved an identification rate of 90% for the samples. It turns out that terahertz spectroscopy combines with random forest to identify the origin of Panax quinquefolius is rapid, accurate and non-destructive, which is of great significance to the quality control and industrial development of Panax quinquefolius.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
