How precision livestock farming integrates multiple data streams to improve welfare monitoring and management at herd scale.
Precision livestock farming represents the convergence of welfare monitoring and agricultural data science into a system that provides what individual stockperson observation cannot: continuous, objective, individual-level welfare monitoring for large herds. The welfare benefits are realised through time to treatment — PLF systems that detect lameness 7 days earlier than observation-based detection reduce the duration of pain for every affected animal. Multiplied across thousands of farms and millions of animals, earlier detection driven by PLF represents an enormous and scalable welfare improvement. The remaining challenges are cost accessibility for smaller operations, data privacy, and ensuring that PLF data is used to improve welfare rather than simply to monitor it.