Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet.

Zhang Y, Li Y, Cao X, Wang Z, Chen J, Li Y, Zhong Z, Bai R, Yang P, Pan F, Fu X

Open source

DOI
10.3389/fpls.2025.1622713
Published
2025
Container
Frontiers in plant science
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fpls.2025.1622713,
  title = {Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet.},
  author = {Zhang Y and Li Y and Cao X and Wang Z and Chen J and Li Y and Zhong Z and Bai R and Yang P and Pan F and Fu X},
  year = {2025},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2025.1622713},
  url = {https://doi.org/10.3389/fpls.2025.1622713}
}

RIS

TY  - JOUR
TI  - Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet.
AU  - Zhang Y
AU  - Li Y
AU  - Cao X
AU  - Wang Z
AU  - Chen J
AU  - Li Y
AU  - Zhong Z
AU  - Bai R
AU  - Yang P
AU  - Pan F
AU  - Fu X
PY  - 2025
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2025.1622713
UR  - https://doi.org/10.3389/fpls.2025.1622713
ER  - 

APA

Y, Z., Y, L., X, C., Z, W., J, C., Y, L., Z, Z., R, B., P, Y., F, P., & X, F. (2025). Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet.. Frontiers in plant science. https://doi.org/10.3389/fpls.2025.1622713

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