FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.

Lin J, Zhang X, Qin Y, Yang S, Wen X, Cernava T, Chen X

DOI: 10.1002/ps.8489
Published: 2025 Feb
Container: Pest management science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/ps.8489,
  title = {FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.},
  author = {Lin J and Zhang X and Qin Y and Yang S and Wen X and Cernava T and Chen X},
  year = {2025},
  journal = {Pest management science},
  doi = {10.1002/ps.8489},
  url = {https://doi.org/10.1002/ps.8489}
}

RIS

TY  - JOUR
TI  - FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.
AU  - Lin J
AU  - Zhang X
AU  - Qin Y
AU  - Yang S
AU  - Wen X
AU  - Cernava T
AU  - Chen X
PY  - 2025
JO  - Pest management science
DO  - 10.1002/ps.8489
UR  - https://doi.org/10.1002/ps.8489
ER  -

APA

J, L., X, Z., Y, Q., S, Y., X, W., T, C., & X, C. (2025). FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.. Pest management science. https://doi.org/10.1002/ps.8489

Source records

pubmed · retrieved 2026-09-26T10:23:57.666Z