Spectroscopy and Spectral Analysis, Volume. 41, Issue 6, 1800(2021)

Non-Destructive Detection of Male and Female Information of Early Duck Embryos Based on Visible/Near Infrared Spectroscopy and Deep Learning

LI Qing-xu1、*, WANG Qiao-hua1,2, MA Mei-hu3, XIAO Shi-jie1, and SHI Hang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(5)

    [6] [6] Turkyilmaz M K, Karagenc L, Fidan E. British Poultry Science, 2010, 51(4): 525.

    [7] [7] Galli R, Preusse G, Schnabel C, et al. PLOS ONE, 2018, 13: e0192554.

    [8] [8] Galli R, Preusse G, Uckermann O, et al. Analytical & Bioanalytical Chemistry, 2017, 409: 1185.

    [9] [9] Hirst C E, Major A T, Smith C A. International Journal of Developmental Biology, 2018, 62: 153.

    CLP Journals

    [1] WEI Jin-shan, CHEN Zheng-guang, JIAO Feng. Research on Land Classification Model Based on Fusion of Different Convolution Scales and Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2023, 43(2): 460

    Tools

    Get Citation

    Copy Citation Text

    LI Qing-xu, WANG Qiao-hua, MA Mei-hu, XIAO Shi-jie, SHI Hang. Non-Destructive Detection of Male and Female Information of Early Duck Embryos Based on Visible/Near Infrared Spectroscopy and Deep Learning[J]. Spectroscopy and Spectral Analysis, 2021, 41(6): 1800

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jun. 14, 2020

    Accepted: --

    Published Online: Jul. 16, 2021

    The Author Email: LI Qing-xu (1948260008@qq.com)

    DOI:10.3964/j.issn.1000-0593(2021)06-1800-06

    Topics