Agribot AI grassland prediction model for climate adaptation
Agribot offers an AI-driven prediction model for grassland management using satellite radar data. It provides field-level predictions, enabling data-driven decisions and timely interventions to mitigate climate impacts. The model has a 91% accuracy rate and TRL 6.
Overview
Agribot's AI grassland prediction model leverages satellite radar data to provide highly accurate predictions of grassland growth and response to climate conditions. Designed for precision agriculture, the model offers field-level insights, allowing users to anticipate growth and respond to climate stressors like drought up to 4-6 weeks in advance. This proactive approach facilitates timely interventions, optimizing resource use and maintaining healthier green spaces.
Technical specifications
Key features:
- Utilizes satellite radar data, unaffected by weather conditions, for accurate predictions
- Provides predictions at a 10-meter resolution, with potential refinement to 2 meters
- Current model accuracy stands at 91%, with improvements ongoing through ground truthing
- Applicable to various landscapes, including lawns, gardens, sports turf, and municipal areas
- Supports precision water management and soil-health monitoring systems
Technology readiness level
The Agribot model is currently at Technology Readiness Level 6, indicating that it has been field-tested and is in the process of scaling across the UK, Ireland, and the EU. Ongoing validation efforts aim to enhance model resolution and expand applications to forestry and smaller landscapes.
About Agribot
Agribot is a UK-based agricultural technology company that provides precision insights for the agri-food industry. Its platform integrates artificial intelligence, machine learning, and atmospheric forecasting with remote sensing data from radar satellites. By processing multispectral and radar imagery—which allows for consistent data collection regardless of cloud cover—the company generates individual productivity models for specific fields. These models provide real-time monitoring and predictive analytics, offering insights into crop health, stress factors, phenological phases, and yield potential. The technology suite, which includes tools for weather forecasting and climate adaptation, aims to help farmers make data-driven decisions while reducing manual field assessments.
The solution is particularly significant for pasture-based dairy farming and general crop management, where it assists in optimizing grazing rotations, fertilizer application, and feed allocation. By leveraging satellite data to forecast growth trends and provide advance warnings for severe weather, Agribot helps producers improve resource efficiency, reduce environmental impact, and enhance overall profitability. The company has engaged in collaborative research projects to validate its technology, working with partners such as the UK Agri-Tech Centre and academic institutions to translate climate science and remote sensing research into practical tools for land management and climate resilience.
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