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

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

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posted on 2024-06-19, 19:26 authored by Chunlu LiuChunlu Liu, Zhitian Zuo, Furong Xu, Yuanzhong Wang

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

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DOI - Is version of https://doi.org/10.3389/fpls.2022.1009727

Location

Lausanne, Switzerland

Language

English

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/36825249

Journal

Frontiers in Plant Science

Volume

13

Article number

ARTN 1009727

Pagination

1-14

ISSN

1664-462X

eISSN

1664-462X

Publisher

Frontiers Media

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Keywords

active components CLASSIFICATION climate factors deep learning model DISCRIMINATION geographical traceability GINSENOSIDES Life Sciences & Biomedicine NEAR-INFRARED SPECTROSCOPY Panax notoginseng Plant Sciences Science & Technology synchronous 2D-COS images VARIABLE IMPORTANCE

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CC BY 4.0

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

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