DC-YOLO：应对遮挡与光照变化的湖羊行为检测模型
提出DC-YOLO模型，用于湖羊行为检测，解决遮挡与光照变化问题。
草食牲畜
奶牛、肉牛、羊养殖与奶业
14 篇内容清除全部筛选
牛肉牛区域特征计算机视觉分析:基于 YOLO 与深度估计的牛体况自动评分
用YOLO检测与深度估计提取牛体区域特征，实现肉牛体况自动评分。
Detection of mounting behavior and mounted ewes in group-housed environments using HSM-YOLO algorithm
提出HSM-YOLO算法，在群养环境下检测羊爬跨行为及被爬跨母羊，用于发情监测。
Artificial intelligence driven framework for enhancing sustainability and resilience in communal cattle insurance in Lupane District Zimbabwe
研究提出AI驱动的三模块框架，以提升津巴布韦Lupane地区社区牛保险的可持续性和韧性。
Automated dairy cattle lameness assessment using a 38-keypoint whole-body YOLOv8 pose framework
构建38关键点全身YOLOv8姿态框架，实现奶牛跛行自动评估并与Sprecher评分比对。
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。
Fusion of multi-branch attention mechanism and hybrid graph convolutional network for accurate cow behavior recognition
提出融合多分支注意力与混合图卷积网络，实现奶牛行为精准识别。
Geometric representation-based facial keypoint matching for sheep identification across growth stages
提出基于面部关键点几何表示的绵羊识别方法，可跨生长阶段匹配。
基于ResNet系列网络的肉牛姿态识别实现与教学研究
构建9类肉牛姿态数据集，用ResNet50实现姿态识别并探究网络深度影响。
HEART-Net: An ultra-lightweight multimodal neural network for on-device cattle live-weight estimation and precision phytogenic dosing
HEART-Net: An ultra-lightweight multimodal neural network for on-device cattle live-weight estimation and precision phytogenic dosing。Smart Agricultural Technology
Integrating Material Flow Cost Accounting and IoT-Based Monitoring for Eco-Efficient Goat Farm Management
开发集成物联网监测与物料流成本核算的山羊养殖数字平台GEMBALA。
基于深度学习数据增强技术的肉牛行为识别 与养殖状态评估研究
比较四种骨干网络并做数据增强消融，实现9类肉牛行为识别与养殖状态评估。
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。
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。