Using data science to optimize cattle diets and improve animal wellbeing
Precision nutrition — the use of sensors, data analytics, and individual animal monitoring to optimize feed formulation and delivery — represents a major opportunity to improve cattle welfare while reducing costs and environmental impact. Suboptimal nutrition is a leading cause of metabolic disease, lameness, reproductive failure, and suffering in both dairy and beef cattle.
These conditions cause significant animal suffering. Precision nutrition technologies can detect early warning signs and adjust diets before clinical disease develops.
The welfare case for precision nutrition is strong: healthier animals experience less pain, require fewer veterinary interventions, and live longer. Economic returns are also positive, making adoption by producers commercially attractive.