FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection

Ru Han, Lei Shu, Grzegorz Cielniak, Yan Zhu, Jucheng Yang, Fan Yang, Weihan Song, Qian Zhang, Kai Huang

Open source

DOI: 10.3389/fpls.2026.1963106
Published: 2026-10-16
Container: Frontiers in Plant Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1963106,
  title = {FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection},
  author = {Ru Han and Lei Shu and Grzegorz Cielniak and Yan Zhu and Jucheng Yang and Fan Yang and Weihan Song and Qian Zhang and Kai Huang},
  year = {2026},
  journal = {Frontiers in Plant Science},
  doi = {10.3389/fpls.2026.1963106},
  url = {https://doi.org/10.3389/fpls.2026.1963106}
}

RIS

TY  - JOUR
TI  - FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection
AU  - Ru Han
AU  - Lei Shu
AU  - Grzegorz Cielniak
AU  - Yan Zhu
AU  - Jucheng Yang
AU  - Fan Yang
AU  - Weihan Song
AU  - Qian Zhang
AU  - Kai Huang
PY  - 2026
JO  - Frontiers in Plant Science
DO  - 10.3389/fpls.2026.1963106
UR  - https://doi.org/10.3389/fpls.2026.1963106
ER  -

APA

Han, R., Shu, L., Cielniak, G., Zhu, Y., Yang, J., Yang, F., Song, W., Zhang, Q., & Huang, K. (2026). FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1963106

Source records

crossref · retrieved 2026-11-10T06:21:32.130Z