Spectroscopy and Spectral Analysis, Volume. 45, Issue 9, 2648(2025)

A Diagnostic Method for Adzuki Bean Rust Based on an Improved E-DWT Algorithm and Deep Learning Model

FU Qiang1, GUAN Hai-ou1、*, and LI Jia-qi2
Author Affiliations
  • 1College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 2Library, Heilongjiang Bayi Agricultural University, Daqing 163319, China
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    [6] [6] Barthel D, Cullinan C, Mejia-Aguilar A, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2023, 303: 123246.

    [8] [8] Arun R A, Umamaheswari S. Journal of Intelligent & Fuzzy Systems, 2022, 43: 5185.

    [9] [9] Ghazi M M, Yanikoglu B, Aptoula E. Neurocomputing,2017, 235: 228.

    [10] [10] Wei B, Ma X, Guan H, et al. Ecological Informatics,2023, 75: 102070.

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    FU Qiang, GUAN Hai-ou, LI Jia-qi. A Diagnostic Method for Adzuki Bean Rust Based on an Improved E-DWT Algorithm and Deep Learning Model[J]. Spectroscopy and Spectral Analysis, 2025, 45(9): 2648

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    Paper Information

    Received: Dec. 13, 2024

    Accepted: Sep. 19, 2025

    Published Online: Sep. 19, 2025

    The Author Email: GUAN Hai-ou (gho123@163.com)

    DOI:10.3964/j.issn.1000-0593(2025)09-2648-10

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