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。
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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。
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。
Visual measurement for forage maize stubble height fusing cascaded neural networks and robust tracking
提出融合级联神经网络与鲁棒跟踪的视觉方法，测量饲用玉米留茬高度。
EdgeHatch: Detection of chicken hatching stages using machine learning on an edge device
提出EdgeHatch，在边缘设备上用机器学习检测鸡蛋孵化阶段。
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。
Mitigating artificial intelligence-related animal welfare risks in animal farming
探讨如何缓解动物养殖中人工智能应用带来的动物福利风险。
A lightweight domain-specific appearance embedding for Turkey re-identification in dense barn environments
提出轻量级火鸡重识别模型，提升密集圈舍中个体追踪精度并降低计算成本。
A deep learning framework for non-invasive quantification of wing and foot phenotypes in live broiler chickens
提出深度学习框架，非侵入性量化活体肉鸡翅膀和脚部表型。