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Lightweight YOLOv11n model for efficient and accurate residual-film detection in cotton fields of arid regions
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DOI：10.1016/j.compag.2026.111874.png)
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Abstract
En 中文
• A field-based dataset focusing on sheet-like residual film in cotton fields was constructed. • A lightweight improved YOLOv11n model was developed for residual-film detection. • Enhanced backbone and attention mechanisms improve robustness under complex field backgrounds. • An improved MPDIoU loss enhances localization accuracy for irregular residual-film targets. • The model was successfully deployed on Jetson Nano for real-time agricultural machinery use.
Keywords:
residual-film detection
YOLOv11n
lightweight model
cotton fields
arid regions
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