Study of the suitable climate factors and geographical origins traceability of <i>Panax notoginseng</i> based on correlation analysis and spectral images combined with machine learning.

Liu, Chunlu; Zuo, Zhitian; Xu, Furong; Wang, Yuanzhong

Study of the suitable climate factors and geographical origins traceability of Panax notoginseng based on correlation analysis and spectral images combined with machine learning.

Liu, Chunlu; Zuo, Zhitian; Xu, Furong; Wang, Yuanzhong.

Afiliación

Liu C; Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, China.
Zuo Z; Collge of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Xu F; Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, China.
Wang Y; Collge of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Front Plant Sci ; 13: 1009727, 2022.

Article en En | MEDLINE | ID: mdl-36825249

Palabras clave

Panax notoginseng; active components; climate factors; deep learning model; geographical traceability; synchronous 2D-COS images

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: China

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