The project will develop an experimental system which will demonstrate the feasibility and effectiveness of atomic magnetometer technology for monitoring the health and welfare of livestock. This is a new approach, made possible by recent advances in the sensitivity of atomic magnetometers. The feasibility of this application will involve tests in a real farm environment.

This project will develop and validate an advanced robotics and remote monitoring platform to help dairy farms optimise their milk production efficiency and lower the carbon footprint of every litre of milk they produce. It will provide autonomous and objective accreditation of farm practices and animal welfare, exploiting latest developments in artificial intelligence to provide performance metrics for farmers, milk retailers and consumers. It will be sold internationally to support sustainable dairy farming in the UK and worldwide.

This project is a bilateral collaboration with China to develop a new precision engineering solution to support the achievement of net zero dairy farming through artificial intelligence and machine vision. This will be achieved through autonomous monitoring and management of dairy cows to optimise their welfare, health and productivity. An advanced vision-based system will continuously monitor each individual cow’s behaviour, nutrition and wellbeing. Automatic alerts will advise dairy farmers of specific animals in need of their attention, for instance due to a nutrition issue or a health problem. It will facilitate an entirely new approach to managing dairy cows worldwide, both improving animal welfare and reducing environmental impacts, and through AI and new generation vision technologies help dairy farmers towards achieving the United Kingdom's ambition to achieve net zero farming by 2040.

Awaiting Public Project Summary

Awaiting Public Project Summary