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

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

IntroductionAccurate leaf area quantification is vital for early phenotyping in small-seeded crops such as broccoli (Brassica oleracea var. italica), where dense, overlapping, and irregular foliage makes traditional measurement methods inefficient.MethodsThis study presents YOLOv11-AreaNet, a lightw...

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Bibliographic Details
Main Authors: Yaben Zhang, Yifan Li, Xiaowei Cao, Zikun Wang, Jiachi Chen, Yingyue Li, Zhibo Zhong, Ruxiao Bai, Peng Yang, Feng Pan, Xiuqing Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Plant Science
Subjects:
broccoli seedlings
improved YOLOv11
lightweight model
leaf area segmentation
plant trait quantification
smart agriculture
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1622713/full
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