Spectroscopy and Spectral Analysis, Volume. 45, Issue 9, 2590(2025)

Hyperspectral Estimation of Selenium Content in Selenium-Rich Tea Based on Feature Selection and Machine Learning

WEN Zhu1, GUO Song1, SHU Tian1, and ZHAO Long-cai2,3
Author Affiliations
  • 1Guizhou Agricultural Science and Technology Information Institute, Guiyang 550006,China
  • 2College of Natural Resources and Environment, Key Laboratory of Plant Nutrition and Agro-Environment in Northwest China, Ministry of Agriculture and Rural Affairs, Yangling 712100, China
  • 3College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
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    WEN Zhu, GUO Song, SHU Tian, ZHAO Long-cai. Hyperspectral Estimation of Selenium Content in Selenium-Rich Tea Based on Feature Selection and Machine Learning[J]. Spectroscopy and Spectral Analysis, 2025, 45(9): 2590

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    Paper Information

    Received: Nov. 26, 2024

    Accepted: Sep. 19, 2025

    Published Online: Sep. 19, 2025

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2025)09-2590-07

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