Non-destructive identification of Pseudostellaria heterophylla from different geographical origins by Vis/NIR and SWIR hyperspectral imaging techniques

Non-destructive identification of Pseudostellaria heterophylla from different geographical origins by Vis/NIR and SWIR hyperspectral imaging techniques

The composition of Pseudostellaria heterophylla (Tai-Zi-Shen, TZS) is greatly influenced by the growing area of the plants, making it significant to distinguish the origins of TZS. However, traditional methods for TZS origin identification are time-consuming, laborious, and destructive. To address t...

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Bibliographic Details
Main Authors: Tingting Zhang, Long Lu, Yihu Song, Minyu Yang, Jing Li, Jiduan Yuan, Yuquan Lin, Xingren Shi, Mingjie Li, Xiaotan Yuan, Zhongyi Zhang, Rensen Zeng, Yuanyuan Song, Li Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Plant Science
Subjects:
Pseudostellaria heterophylla
geographical origin
hyperspectral imaging
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1342970/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1342970/full

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