The livestock sector is under pressure to improve animal welfare, reduce environmental impact, and increase efficiency amidst rising input costs and labor scarcity. Precision livestock farming, driven by data analytics and non-invasive monitoring, is critical for meeting these demands. This technology aligns perfectly with the global push for sustainable agriculture and smart farming solutions, offering a pathway to optimize resource use and enhance productivity across dairy operations worldwide.
Reduces animal stress through non-invasive diagnosis by using only milk production data for health monitoring.
Optimizes operational costs by leveraging existing data, eliminating the need for new specialized equipment or labor-intensive measurements.
Enhances productivity through early detection of abnormalities and individualized optimization of feed and treatment, stabilizing and improving milk yield and quality.
This patent protects a system and method for estimating ruminant rumen fermentation status based on milk production data (excluding fatty acids). It features 16 claims, establishing a broad technical protection scope. The patent successfully overcame an office action with precise amendments, indicating a robust and stable right for licensees.
Adjacent white space includes integrating real-time environmental data (e.g., temperature, humidity) or genetic markers to refine predictions, or expanding the application to specific disease diagnostics beyond general fermentation status.
For a 500-head dairy farm, optimizing feed could reduce waste by ~$135/head/year (AI est.), totaling ~$65K/year (AI est.). Early disease detection could increase milk yield by 10kg/head/year, valued at ~$4.67/kg (AI est.), leading to ~$25K/year (AI est.) in increased milk revenue. The combined economic impact is estimated at over ~$90K/year (AI est.).
X: Operational Efficiency
Y: Animal Welfare Contribution