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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,* |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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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: Zhao-tang DING (dzttea@163.com)

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

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology