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Open access Aug 2026

YOLOv11n-DEG for Maize Kernel Damage Detection

Maize kernel damage detection is critical for grain quality assessment and post-harvest processing. However, existing deep learning methods struggle to balance accuracy, model complexity, and multi-class recognition under real-world conditions. To address these issues, this paper proposes YOLOv11n_DEG, an improved ligh...

Xin-Ping Li, Han Zhang, Jiarui Hou et al. · 0 citations

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