Identification of Panax Notoginseng Powder in Different Parts Based on the Electronic Nose and Time-Domain Feature Extraction

Identification of Panax Notoginseng Powder in Different Parts Based on the Electronic Nose and Time-Domain Feature Extraction

To realize the non-destructive identification of Panax notoginseng powder in different parts, this research proposes a nondestructive identification method based on the electronic nose and time-domain feature extraction. First, the electronic nose technology combined with statistical analysis method...

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Bibliographic Details
Main Authors: Li, L. (Author), Lin, Y. (Author), Shi, L. (Author), Wang, J. (Author), Zhang, F. (Author), Zhu, Y. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2022
Subjects:
Classification (of information)
Classification models
Electronic nose
Extraction
Feature extraction
Gray wolves
Higher order statistics
Identification method
Least square support vector machines
Non destructive
Nondestructive identification
Panax notoginseng powders
Part based
Plants (botany)
Statistical analysis methods
Support vector machines
Time domain analysis
Time domain feature extraction
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