LONDON, United Kingdom — October 7, 2026 — A digital precision livestock farming initiative that utilizes machine learning algorithms to predict clinical disease onset in commercial swine facilities has been named the winner of the 2026 Nick Bird Award. The project represents a major advancement in livestock predictive medicine, moving farm managers from reactive disease treatment to proactive biosecurity intervention.
Early Onset Pathogen Detection
The winning platform processes real-time environmental data—including continuous monitoring of relative humidity, air turnover, and ammonia levels—alongside behavioral tracking of pig movement and feeding dynamics. By establishing baseline barn profiles, the machine learning model detects subtle shifts in herd behavior up to 48 hours before visible clinical signs of respiratory or gastrointestinal illness manifest.
Clinical & Commercial Impact
Early detection allows targeted diagnostic testing and localized treatment before pathogens spread across barn airspaces.
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Antimicrobial Reduction: Early non-therapeutic or targeted interventions reduce the need for mass water-line antibiotic treatments.
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Mortality Suppression: Rapid identification of Porcine Epidemic Diarrhea (PEDv) or Streptococcus suis minimizes nursery and finishing mortality spikes.
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Operational Efficiency: Automated alerts streamline labor focus, enabling farm staff to prioritize high-risk pens.
