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

该项目将通过现代管理技术提高我们对集约饲养肉鸡行为的了解，从而改善健康、福利和性能。通过量化的目视观察对家禽环境进行24/7全天候监测，目的是记录在特定时间和已知条件下按比例显示的行为。这可能有助于早期发现疾病，减少死亡率、痛苦和抗微生物药物的使用。V7实验室与H&S和RVC合作，旨在开发一种具有成本效益的相机解决方案，以监测肉鸡的行为。试验将在H&S管理的农场进行，由RVC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.