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

Version 2 2024-06-19, 19:26
Version 1 2023-06-09, 04:36
journal contribution
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

History

Journal

Frontiers in Plant Science

Volume

13

Article number

ARTN 1009727

Pagination

1-14

Location

Lausanne, Switzerland

Publisher DOI

ISSN

1664-462X

eISSN

1664-462X

Language

English

Author URL

Publisher

Frontiers Media

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    Research Publications

    Categories

    Keywords

    active componentsCLASSIFICATIONclimate factorsdeep learning modelDISCRIMINATIONgeographical traceabilityGINSENOSIDESLife Sciences & BiomedicineNEAR-INFRARED SPECTROSCOPYPanax notoginsengPlant SciencesScience & Technologysynchronous 2D-COS imagesVARIABLE IMPORTANCE

    Licence

    CC BY 4.0

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