Night-DETR：基于夜间环境下肉牛行为识别方法
针对养殖场夜间光照不足难题，提出Night-DETR模型识别肉牛行为，提升弱光条件下行为监测精度，为智能畜牧无接触监管提供方法支撑。
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Drone-based AI system tracks cattle growth without stressful trips to scales
In beef cattle production, determining the ideal time to sell makes all the difference in a producer's costs. This is because, once an animal reaches its natural growth limit, it stops gaining weight significantly. From that point on, every additional day in a feedlot means spending money on feed without gaining meat in return.
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该系统以体宽与体长比值规避飞行高度误差，对卧倒或斜姿个体自动剔除，在商业牛场复杂场景下的稳定性仍需更大规模验证；目前仅为接近成型的原型，尚未商品化。
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Animal welfare in the world of digitalization: Computer Vision in the context of foundational structures
论文论证计算机视觉用于动物福利时，伦理问题须置于社会基础结构中理解。
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DGF-YOLOv12n-LiteP2: Dynamic Gated Local-Context Fusion with a High-Resolution Detection Head for Cattle Body-Part Detection in Complex Barns（基于YOLOv12n动态门控局部上下文融合的复杂牛舍牛体部位检测）
提出DGF-YOLOv12n-LiteP2，实现复杂牛舍场景下牛体部位高精度检测。
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Fostering artificial intelligence in the livestock sector: Adoption factors and policy insights from the case of Spain
基于西班牙666家养殖场调查，用PLS-SEM分析AI采纳的影响因素与政策启示。
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Evaluation of hybrid models based on image segmentation and inference for pig weight estimation
用YOLOv8n-seg分割猪体并提取EfficientNet特征，结合回归模型实现非侵入式猪体重估
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Deep reinforcement learning for simulated autonomous heat stress mitigation in dairy cattle
用深度强化学习在仿真中为奶牛个体化热应激缓解做决策支持。
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Two Decades of Computer Vision in Precision Livestock Farming: an Umbrella Review of Applications, Benchmarking Evidence, and the Performance-to-Deployment Gap Across Cattle, Pig, and Poultry Systems
伞式综述112篇综述，梳理牛猪禽精准养殖计算机视觉应用与部署差距。
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