A new research project led by the Quant Foundry (QF) in collaboration with the University of Bristol Vet School and Agri-EPI Centre is seeking to improve the welfare of livestock using artificial intelligence methods combined with behavioural analytics to provide fast and accurate insights to animal health for farmers across the UK.
The research and commercial feasibility program, co-funded by Innovate UK, the UK’s innovation agency, aims to provide a new cost-effective solution for farmers and vets to identify illness in livestock, providing cost savings and a means to reduce the impact of farming on the environment.
The team will be headed by Dr Chris Cormack at QF, who will run a feasibility study with Professor Andrew Dowsey and animal welfare experts, Dr Siobhan Mullan, Dr Suzanne Held and Professor Michael Mendl at the University of Bristol and Agri-EPI Centre at its South West Dairy Development Centre in Somerset.
“The study of behavioural analytics in animals will open up a new era in artificial intelligence driven solutions for farmers,” Dr Cormack said. “We have great hopes that not only can we help farmers provide improved care for their livestock but also help reduce their economic costs and their environmental impact.”