Laser & Optoelectronics Progress, Volume. 61, Issue 20, 2011012(2024)

Lightweight Multi-Task Apple Ripeness Classification Model (Invited)

Li Zhang1, Xiaoge Wang2, Chun Bao1, Jie Cao1,3、*, and Qun Hao4
Author Affiliations
  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2School of Mechanical Engineering, Shandong University of Technology, Zibo 255022, Shandong , China
  • 3Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing 314003, Zhejiang , China
  • 4School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin , China
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    References(23)

    [5] Xu Y X, Dai H C, Zhang Y et al. Detection of tomato fruit sugar content based on phase imaging[J]. Chinese Journal of Lasers, 51, 0307109(2024).

    [6] Li L. Research on apple maturity and associated quality factors based on nondestructive detection[D](2018).

    [7] Wang D Z, Li F, Yan C Y et al. Lightweight apple-leaf pathological recognition based on multiscale fusion[J]. Laser & Optoelectronics Progress, 60, 0210005(2023).

    [14] Zhang Z G, Yu P F, Li H Y et al. Fine-grained image recognition of wild mushroom based on multiscale feature guide[J]. Laser & Optoelectronics Progress, 59, 1210016(2022).

    [21] Wang X, Wang C R, Wang C et al. Dual-channel multi-perception convolutional network for image super-resolution[J]. Journal of Northeastern University (Natural Science), 41, 1564-1569, 1576(2020).

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    Li Zhang, Xiaoge Wang, Chun Bao, Jie Cao, Qun Hao. Lightweight Multi-Task Apple Ripeness Classification Model (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011012

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 25, 2024

    Accepted: May. 20, 2024

    Published Online: Nov. 5, 2024

    The Author Email: Jie Cao (caojie@bit.edu.cn)

    DOI:10.3788/LOP240953

    CSTR:32186.14.LOP240953

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