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Application of spectroscopic technology with machine learning in Chinese herbs from seeds to medicinal materials:The case of genus Paris

Yangna Feng Xinyan Zhu Yuanzhong Wang

药物分析学报（英文）2025，Vol.15Issue(2)：291-303,13.

药物分析学报（英文）2025，Vol.15Issue(2)：291-303,13.DOI:10.1016/j.jpha.2024.101103

Application of spectroscopic technology with machine learning in Chinese herbs from seeds to medicinal materials:The case of genus Paris

Yangna Feng ¹Xinyan Zhu ²Yuanzhong Wang²

作者信息

1. Medicinal Plants Research Institute,Yunnan Academy of Agricultural Science,Kunming,650200,China||College of Traditional Chinese Medicine,Yunnan University of Chinese Medicine,Kunming,650500,China
2. Medicinal Plants Research Institute,Yunnan Academy of Agricultural Science,Kunming,650200,China
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摘要

关键词

Medicinal herbs/Genus Paris/Spectroscopic technology/Quality detection/Supply chain/Machine learning

Key words

Medicinal herbs/Genus Paris/Spectroscopic technology/Quality detection/Supply chain/Machine learning

引用本文复制引用

Yangna Feng,Xinyan Zhu,Yuanzhong Wang..Application of spectroscopic technology with machine learning in Chinese herbs from seeds to medicinal materials:The case of genus Paris[J].药物分析学报（英文）,2025,15(2):291-303,13.

基金项目

This work was funded by the Special Program for the Major Science and Technology Projects of Yunnan Province,China(Grant No.:202202AE090001). （Grant No.:202202AE090001）

药物分析学报（英文）

ISSN：2095-1779

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