Visual Monitoring of Broiler Behaviour, Health and Welfare using Artificial Intelligent Image Machine Learning

这个项目将提高我们对集约化饲养的肉鸡行为的了解，与现代管理技术相关，从而改善健康、福利和生产性能。24/7全天候监测家禽环境的量化目视观察旨在记录在特定时间和已知条件下按比率显示的行为。这可能有助于及早发现疾病，减少死亡率、痛苦和抗菌药物的使用。V7实验室与H&S和RVC合作，致力于开发一种经济高效的摄像头解决方案来监控肉鸡的行为。试验将在H&S管理的农场举行，皇家兽医观察选定的行为。

This project will improve our knowledge of intensively raised broiler chicken behaviours in relation to modern management techniques allowing for improved health, welfare and performance. 24/7 monitoring of poultry environments with quantified visual observations aim to record which behaviours are being displayed by ratio at specified times and known conditions. This potentially enables early disease detection reducing mortality, suffering and antimicrobial use. V7 labs, working with H&S and RVC aim to develop a cost-effective camera solution to monitor broiler chicken behaviour. The trials will be hosted on H&S managed farms with RVC observing selected behaviours.