Macroscopic anomaly detection in paddy fields from UAV perspectives: a frequency-aware spatiotemporal mamba approach.

Liu Y, Cui H, He J, Xiao J.

Open source

DOI: 10.3389/fpls.2026.1895982
Published: 2026-08-18
Container: Front Plant Sci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1895982,
  title = {Macroscopic anomaly detection in paddy fields from UAV perspectives: a frequency-aware spatiotemporal mamba approach.},
  author = {Liu Y and  Cui H and  He J and  Xiao J.},
  year = {2026},
  journal = {Front Plant Sci},
  doi = {10.3389/fpls.2026.1895982},
  url = {https://doi.org/10.3389/fpls.2026.1895982}
}

RIS

TY  - JOUR
TI  - Macroscopic anomaly detection in paddy fields from UAV perspectives: a frequency-aware spatiotemporal mamba approach.
AU  - Liu Y
AU  -  Cui H
AU  -  He J
AU  -  Xiao J.
PY  - 2026
JO  - Front Plant Sci
DO  - 10.3389/fpls.2026.1895982
UR  - https://doi.org/10.3389/fpls.2026.1895982
ER  -

APA

Y, L., H, C., J, H., & J., X. (2026). Macroscopic anomaly detection in paddy fields from UAV perspectives: a frequency-aware spatiotemporal mamba approach.. Front Plant Sci. https://doi.org/10.3389/fpls.2026.1895982

Source records

europe-pmc · retrieved 2026-09-25T05:07:03.619Z
doaj · retrieved 2026-09-25T05:07:03.652Z