Farmed Animals

Automated Welfare Monitoring in Livestock Farms

Automated monitoring systems are transforming the ability to detect and respond to animal welfare problems at scale.

Key Facts

Computer vision systems can detect lame cows with accuracy comparable to trained observers
Acoustic monitoring can identify pig stress vocalisations and alert farmers to welfare events
Wearable sensors on individual animals provide continuous health and activity data
AI analysis of monitoring data can predict welfare events before they become critical
Data privacy and ownership issues in automated monitoring require regulatory attention

Welfare Considerations

Automated welfare monitoring offers transformative potential for improving livestock welfare by enabling continuous, objective assessment of many more animals than human inspection can achieve. Early warning systems that alert farmers to emerging welfare problems can prevent suffering that would previously go undetected between manual checks.

What You Can Do

Support research and development in automated livestock welfare monitoring
Advocate for welfare monitoring data to be included in farm assurance audits
Choose certified products from farms that demonstrate systematic welfare monitoring
Support appropriate regulation of automated monitoring data to protect farm animal welfare