Weed interference is a major constraint in the production of Angelica dahurica, where seedling–weed similarity, small target size, soil background variation, and occlusion make reliable field recognition difficult. This study develops a lightweight attention-enhanced one-stage detector for real-time crop-versus-weed lo...
Jing Pang, Xing-Yang Yang, Ze-Kun Ge et al.· Agronomy· 0 citations
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.· Agronomy· 0 citations
In order to provide a theoretical basis for the monitoring and control of the formation process of round bales, the friction test platform for the rolling formation of round bales was built to study the interaction between steel roll and material in the forming process. The results showed that the torque value of the s...
