Spectroscopy and Spectral Analysis, Volume. 44, Issue 1, 234(2024)

Evaluation of Freezing Injury Degree of Tea Plant Based on Deep Learning, Wavelet Transform and Visible Spectrum

LI He1, WANG Yu2, FAN Kai2, MAO Yi-lin2, DING Shi-bo3, SONG Da-peng3, WANG Meng-qi3, and DING Zhao-tang1、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    [14] [14] Mao Yilin, Li He, Wang Yu, et al. Frontiers in Plant Science, 2023, 14: 1096490.

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    LI He, WANG Yu, FAN Kai, MAO Yi-lin, DING Shi-bo, SONG Da-peng, WANG Meng-qi, DING Zhao-tang. Evaluation of Freezing Injury Degree of Tea Plant Based on Deep Learning, Wavelet Transform and Visible Spectrum[J]. Spectroscopy and Spectral Analysis, 2024, 44(1): 234

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    Paper Information

    Received: Apr. 12, 2022

    Accepted: --

    Published Online: Jul. 31, 2024

    The Author Email: DING Zhao-tang (dzttea@163.com)

    DOI:10.3964/j.issn.1000-0593(2024)01-0234-07

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