Livestock Monitoring

AI monitors cattle sensor data to flag illness and other urgent herd events.

Business impact

• Cattle disease identification improvement — Precision Animal Solutions reports a 27% improvement.
• Feed cost savings — Voshazhnikovo Farm reports €340,000 in savings over 180 days for 2,000 dairy cows.

Data requirements

• Collar sensor data (sensor) — Includes readings tied to animal behavior and health.
• Location data (sensor) — Used to find animals and spot missing or unusual movement.
• Vital-sign data (sensor) — Temperature, blood pressure, and heart rate are monitored in the related article.
• Veterinary and farm records (tabular) — Combined with sensor data in the Voshazhnikovo Farm example.

AI methods and techniques

• Machine learning — Used to analyze livestock sensor and behavior data for changes in health or activity.
• Behavior-change detection — Flags animals whose patterns differ from expected herd behavior.

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: Cattle-Watch, Precision Animal Solutions, Noble Foods, Voshazhnikovo Farm.