What happened
Paul Westaway, a Gloucestershire farmer, now relies on AI-powered fitness tracker-style devices for continuous herd monitoring. These collar or ear-tag units record 120 movement and ear temperature readings per minute, transmitting alerts to his mobile phone every 20 minutes. The AI analyses individual and herd behaviour, identifying deviations indicating illness or heat, a technology Westaway has utilised for over a decade.
Why it matters
Continuous, data-driven livestock monitoring reduces manual labour and enhances animal welfare for agricultural operations. The AI system's mechanism for detecting subtle behavioural shifts, such as those indicating illness or heat, enables proactive intervention, minimising health issues and optimising breeding cycles. This provides real-time insights, improving operational efficiency and potentially reducing economic losses by preventing minor health problems from escalating.
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