Spectroscopy and Spectral Analysis, Volume. 44, Issue 5, 1392(2024)

Identification of Sorghum Breed by Hyperspectral Image Technology

SONG Shao-zhong11, LIU Yuan-yuan2, ZHOU Zi-yang3, TENG Xing3, LI Ji-hong3, LIU Jun-ling1, and GAO Xun2、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(11)

    [1] [1] Kaufman R C, Wilson J D, Bean S R, et al. Journal of Cereal Science, 2017, 74: 127.

    [2] [2] Zhao Haitao,Feng Yaoze,Chen Wei,et al. Meat Science, 2019, 151: 75.

    [3] [3] Khairi M T M, Ibrahim S, Yunus M A M, et al. Journal of Food Process Engineering, 2018,41: 20.

    [4] [4] Liu Dongli, Wu Yixuan, Gao Zongmei,et al. Crop & Pasture Science, 2019, 70(5): 437.

    [6] [6] Huang Min, Tang Jinya, Yang Bao, et al. Computers and Electronics in Agriculture, 2016, 122:139.

    [8] [8] Long Yuan, Huang Wenqian, Wang Qingyan, et al. Food Chemistry, 2022, 372: 131246.

    [9] [9] He Peihuan, Wu Yi, Wang Jingjing, et al. Journal of Food Process Engineering, 2020, 43(6):e13386.

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    [13] [13] Liu Yuanyuan, Zhao Shangyong, Gao Xun, et al. RSC Advances,2022, 12: 34520.

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    SONG Shao-zhong1, LIU Yuan-yuan, ZHOU Zi-yang, TENG Xing, LI Ji-hong, LIU Jun-ling, GAO Xun. Identification of Sorghum Breed by Hyperspectral Image Technology[J]. Spectroscopy and Spectral Analysis, 2024, 44(5): 1392

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    Paper Information

    Received: Sep. 27, 2022

    Accepted: --

    Published Online: Aug. 21, 2024

    The Author Email: GAO Xun (lasercust@163.com)

    DOI:10.3964/j.issn.1000-0593(2024)05-1392-06

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