Leaf area estimation in small-seeded broccoli using a lightweight instance segmentation framework based on improved YOLOv11-AreaNet
YOLOv11-AreaNet offers a robust and scalable solution for automated leaf area measurement in small-seeded crops, supporting high-throughput screening and intelligent crop monitoring under real-world agricultural conditions.
Authors
- Zikun Wang (ORCID: https://orcid.org/0000-0002-8672-4311)
- Feng Pan (ORCID: https://orcid.org/0000-0002-0814-1364)
- Yingyue Li (ORCID: https://orcid.org/0000-0003-3285-1507)
- Peng Yang (ORCID: https://orcid.org/0000-0001-8964-0597)
- Xiuqing Fu
- Xiaowei Cao
- Jiachi Chen (ORCID: https://orcid.org/0000-0002-0192-9992)
- Yaben Zhang
- Yifan Li (ORCID: https://orcid.org/0009-0009-7688-1573)
- Ruxiao Bai
- Zhibo Zhong
Institutions
- Nanjing Agricultural University (CN)
- Xinjiang Academy of Agricultural and Reclamation Science (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-07-04
- DOI
- https://doi.org/10.3389/fpls.2025.1622713
- Citations
- 2
- Primary Topic
- Leaf Properties and Growth Measurement
- Type
- article
- Field-Weighted Citation Impact
- 3.50