Spectroscopy and Spectral Analysis, Volume. 44, Issue 2, 480(2024)

Study on Hyperspectral Detection of Potato Dry Rot in Gley Stage Based on Convolutional Neural Network

ZHANG Fan1, WANG Wen-xiu1, WANG Chun-shan2, ZHOU Ji2, PAN Yang3, and SUN Jian-feng1、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(6)

    [1] [1] Li J B, Chen L P, Huang W Q, et al. Postharvest Biology and Technology, 2018, 135: 104.

    [2] [2] Pan L Q, Zhang Q, Zhang W, et al. Food Chemistry, 2016, 192: 134.

    [4] [4] Sun Y, Xiao H, Tu S C, et al. LWT—Food Science and Technology, 2018, 87: 326.

    [6] [6] Pan T T, Chyngyz E, Sun D W, et al. Postharvest Biology and Technology, 2019, 154: 96.

    [8] [8] Zhang C, Wu W Y, Zhou L, et al. Food Chemistry, 2020, 319: 126536.

    [13] [13] Tiwari R K, Bashyal B M, Shanmugam V, et al. Postharvest Biology and Technology, 2021, 181: 111638.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Fan, WANG Wen-xiu, WANG Chun-shan, ZHOU Ji, PAN Yang, SUN Jian-feng. Study on Hyperspectral Detection of Potato Dry Rot in Gley Stage Based on Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2024, 44(2): 480

    Download Citation

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

    Received: Jul. 13, 2022

    Accepted: --

    Published Online: Aug. 5, 2024

    The Author Email: SUN Jian-feng (causunjf@126.com)

    DOI:10.3964/j.issn.1000-0593(2024)02-0480-10

    Topics