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Xin-Jing Feng

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Sep 2026

A lightweight YOLOv11n-based framework for accurate maize seedling detection and counting in field environments

This study develops a lightweight maize seedling detection and counting model for field environments, with three key improvements based on the YOLOv11n architecture, providing an efficient and practical solution for automatic maize seedling detection and counting in field scenarios.

Shi-Chao Wang, Xin-Jing Feng, Yi-Ze Wu et al. · 0 citations

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