Farm Animals

Pig Welfare Benchmarking Data Science

Data science approaches to pig welfare benchmarking enable sector-wide analysis and identification of best practice farms for learning.

Key Facts

Machine learning can identify welfare predictor variables from large farm datasets
Benchmarking platforms including WelfareQuality and AssureWel aggregate farm welfare data
Statistical models identify farms achieving good welfare at lower cost for practice sharing
Longitudinal data tracking welfare across production cycles reveals management-outcome relationships
Open data sharing between farms and researchers accelerates welfare science translation

Welfare Considerations

Data science approaches to welfare benchmarking move beyond descriptive assessment to predictive analytics that identify welfare risks before they cause suffering. Sharing this data openly accelerates learning across the sector.

What You Can Do

Support initiatives developing open welfare data platforms for pig production
Advocate for welfare data sharing requirements in farm assurance programs
Choose pork from farms participating in transparent welfare benchmarking programs