Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet.
- DOI
- 10.3389/fpls.2025.1622713
- Published
- 2025
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-25T18:14:45.578Z