Agri-PIDNet-S: Lightweight semantic segmentation for field-structure and obstacle perception in seedling-stage cotton fields

Yanlin Xin, Yongke Li, Wuchen Wei, Xinyu Cao, Bowen Mao, Yanhong Chen

Open source

DOI: 10.1371/journal.pone.0361992
Published: 2026-11-02
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0361992,
  title = {Agri-PIDNet-S: Lightweight semantic segmentation for field-structure and obstacle perception in seedling-stage cotton fields},
  author = {Yanlin Xin and Yongke Li and Wuchen Wei and Xinyu Cao and Bowen Mao and Yanhong Chen},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0361992},
  url = {https://doi.org/10.1371/journal.pone.0361992}
}

RIS

TY  - JOUR
TI  - Agri-PIDNet-S: Lightweight semantic segmentation for field-structure and obstacle perception in seedling-stage cotton fields
AU  - Yanlin Xin
AU  - Yongke Li
AU  - Wuchen Wei
AU  - Xinyu Cao
AU  - Bowen Mao
AU  - Yanhong Chen
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0361992
UR  - https://doi.org/10.1371/journal.pone.0361992
ER  -

APA

Xin, Y., Li, Y., Wei, W., Cao, X., Mao, B., & Chen, Y. (2026). Agri-PIDNet-S: Lightweight semantic segmentation for field-structure and obstacle perception in seedling-stage cotton fields. PLOS One. https://doi.org/10.1371/journal.pone.0361992

Source records

crossref · retrieved 2026-11-04T05:27:11.183Z