Spectroscopy and Spectral Analysis, Volume. 44, Issue 11, 3095(2024)

Prediction of Soluble Solid Content in Apple Using Image Spectral Super-Resolution

WENG Shi-zhuang... PAN Mei-jing, TAN Yu-jian, ZHANG Qiao-qiao and ZHENG Ling* |Show fewer author(s)
Author Affiliations
  • Anhui University,National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Hefei 230601, China
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    [1] [1] Lee A, Shim J, Kim B, et al. Journal of Food Engineering, 2022, 321: 110945.

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    [7] [7] Shi Z, Chen C, Xiong Z, et al. HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Iamges. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018: 939.

    [8] [8] Zhao Y, Po L M, Yan Q, et al. Hierarchical Regression Network for Spectral Reconstruction from RGB Images. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020: 422.

    [9] [9] Cai Y, Lin J, Lin Z, et al. MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconsturction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022: 745.

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    [12] [12] Cheng J, Sun J, Yao K, et al. Journal of the Science of Food and Agriculture, 2023, 103: 2690.

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    WENG Shi-zhuang, PAN Mei-jing, TAN Yu-jian, ZHANG Qiao-qiao, ZHENG Ling. Prediction of Soluble Solid Content in Apple Using Image Spectral Super-Resolution[J]. Spectroscopy and Spectral Analysis, 2024, 44(11): 3095

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    Paper Information

    Received: Aug. 7, 2023

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: ZHENG Ling (lingz0865@163.com)

    DOI:10.3964/j.issn.1000-0593(2024)11-3095-06

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