Sensor technology and data analytics are enabling continuous welfare monitoring in livestock farming, with potential to identify health and welfare problems earlier than traditional inspection.
Precision livestock farming offers genuine welfare improvements through earlier detection of health problems that cause pain and distress. A dairy cow whose rumination time drops abruptly may be developing ketosis days before a stockperson would notice clinical signs — automated monitoring enables earlier intervention. Activity sensors in pig pens can flag behavioural abnormalities associated with tail biting outbreaks before injuries become severe. The limitation is that technology supplements but cannot replace skilled stockperson observation; sensors and algorithms miss subtleties that experienced humans detect. The welfare-optimal model combines technology-assisted monitoring with high stockperson competency and clear response protocols for when welfare alerts are triggered.