LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11

Accurate leaf segmentation and counting are critical for advancing crop phenotyping and improving breeding programs in agriculture. This study evaluates YOLOv11-based models for automated leaf detection and segmentation across spring barley, spring wheat, winter wheat, winter rye, and winter tritica...

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Bibliographic Details
Main Authors: Ameer Tamoor Khan, Signe Marie Jensen
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/15/2/196
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