Developing AI-enhanced continuous monitoring of individual locomotor dynamics to detect shifts in poultry behaviour, health and welfare in group housi

开发人工智能增强的对个体运动动态的连续监测，以检测家禽群体的行为、健康和福利的变化

• 批准号: 1902725
• 金额: --
• 依托单位: Royal Veterinary College
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1902725
• 关键词: Developing; AI; enhanced; continuous; monitoring

There is an urgent need for objective, evidence-based tools to monitor animal health and welfare. Locomotor dynamics offer promising opportunities to quantitatively and continuously track individual animal behaviour, to improve management of health and welfare. This project aims to use computer vision and machine-learning (or artificial intelligence, AI) to detect and classify poultry motion within group-housing. Automation of behaviour monitoring has commercialisation potential in precision livestock farming, treatment response monitoring of research animals (vaccine and drug development), and companion animal healthcare. This project aligns well with Key Challenges in the BBSRC strategic framework, including One Health and Biotechnology for Health.

迫切需要客观的、基于证据的工具来监测动物健康和福利。运动动力学为定量和连续跟踪个体动物行为提供了有希望的机会，以改善健康和福利管理。该项目旨在使用计算机视觉和机器学习（或人工智能，AI）来检测和分类群舍内的家禽运动。行为监测的自动化在精准畜牧业、研究动物的治疗反应监测（疫苗和药物开发）和伴侣动物医疗保健方面具有商业化潜力。该项目与BBSRC战略框架中的关键挑战保持一致，包括一个健康和生物技术促进健康。