Al-Based Predictive Modelling for Early Forecasting of Bovine Mastitis in lndian Dairy Farms

Source summary

The dairy-health proposal targets mastitis risk prediction seven to fourteen days before clinical signs at animal and herd levels. AI should combine milk/SCC and sensor data with health, treatment, environment, nutrition and management records. Mobile multilingual alerts, herd dashboards, GIS trends and veterinary decision support are requested, alongside a low-cost sensor prototype and field validation. Forecast lead time is a target; predictions are not diagnoses or demonstrated prevention.