Precision livestock farming uses sensors, data analytics, and automated systems to monitor individual animals continuously, creating opportunities for unprecedented welfare improvements at commercial scale.
Precision livestock farming represents a structural shift in how welfare is monitored at commercial scale. Traditional welfare monitoring relies on periodic human observation that necessarily misses most welfare problems between assessment visits. PLF systems that continuously monitor individual animal parameters — movement, feeding behaviour, temperature, milk composition — detect welfare problems as they emerge, enabling intervention within hours rather than days or weeks. The welfare gain compounds over time: faster detection means shorter duration of suffering before treatment; population-level monitoring identifies systemic problems that affect many animals rather than treating individuals one at a time. Implementing PLF as a welfare tool — rather than only a production efficiency tool — requires framing welfare outcomes alongside productivity metrics and creating alert systems that trigger welfare-specific responses.