About the Service - Grazing Risk Monitoring Service

Research Based

This project builds upon existing scientific research and enhances it with ongoing research and development. The result is a sophisticated computer model capable of assessing grazing risk based on multiple weather parameters.

When a location is selected, the model considers grass types native to that region. C3 grasses (cool season grasses) tend to accumulate non-structural carbohydrates (NSCs), while C4 grasses (warm season grasses) tend to accumulate starch. Increased levels of either can raise grazing risks for horses susceptible to laminitis.

Case Study Data

Predicted grazing risk levels have been rigorously tested against confirmed laminitis cases. The project began with UK-focused data and has expanded to include cases from varied climates and regions worldwide.

Each reviewed case adds insight that helps improve model sensitivity and accuracy, keeping predictions robust and relevant across diverse grazing contexts.

Continuous Quality Control and Data Validation

To maintain accuracy and reliability, regular testing and validation are carried out by comparing predicted risk levels against updated real-world cases and environmental data.

Automated consistency checks run across weather data feeds and model calculations. This continual monitoring and validation supports a trustworthy, science-based tool for horse owners.

Important Use Guidance

This product is designed to increase awareness that stressed grass can pose risk throughout the year, not just in spring and autumn. It should be used as an everyday support tool in conjunction with correct animal husbandry.