An improved U-net and attention mechanism-based model for sugar beet and weed segmentation

An improved U-net and attention mechanism-based model for sugar beet and weed segmentation

IntroductionWeeds are a major factor affecting crop yield and quality. Accurate identification and localization of crops and weeds are essential for achieving automated weed management in precision agriculture, especially given the challenges in recognition accuracy and real-time processing in compl...

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Main Authors: Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
semantic segmentation
UNET
deep learning
MaxViT
CBAM
attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1449514/full
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