Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of <i>Gastrodia elata</i> Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning

Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of <i>Gastrodia elata</i> Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning

<i>Gastrodia elata (G. elata)</i> Blume is widely used as a health product with significant economic, medicinal, and ecological values. Due to variations in the geographical origin, soil pH, and content of organic matter, the levels of physiologically active ingredient contents in <i&...

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Bibliographic Details
Main Authors: Jinfang Ma, Xue Zhou, Baiheng Xie, Caiyun Wang, Jiaze Chen, Yanliu Zhu, Hui Wang, Fahuan Ge, Furong Huang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Foods
Subjects:
<i>Gastrodia elata</i> Blume
visible–near-infrared spectroscopy
geographical origin
physiologically active ingredients
1D-CNN
Online Access:https://www.mdpi.com/2304-8158/12/22/4061

Internet

https://www.mdpi.com/2304-8158/12/22/4061

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