Geographic authentication of Amomum tsaoko seeds using fourier transform-near infrared spectroscopy combined with machine learning techniques and feature reduction analysis
This study indicates that pretreatment of NIRS raw data and the use of ML are potential strategies for rapid and specific geographic authentication of plants.
Authors
- Xinwei Huang (ORCID: https://orcid.org/0000-0003-0746-9293)
- Songping Lan (ORCID: https://orcid.org/0009-0003-9324-7116)
- Shengguo Ji
- X. Zhong (ORCID: https://orcid.org/0009-0001-6456-0301)
- He Cao (ORCID: https://orcid.org/0009-0000-2282-966X)
- Haoran Hu
- Huan Wang
- Xiaoli Liu
- Hui Xie
- Yaowen Yang
Institutions
- Tongji University (CN)
- Guangdong Pharmaceutical University (CN)
- Fudan University (CN)
- Yunnan University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-22
- DOI
- https://doi.org/10.3389/fpls.2025.1717851
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00