Key Takeaways
- Cordulus’ new AI-driven weather model improves rain prediction accuracy by 52% compared to traditional forecasts.
- The model is trained on over 8 million rainfall events across Europe, offering real-time updates every 10 minutes.
- Farmers benefit from hyperlocal forecasts, enabling better decision-making for irrigation, fertilization, and harvesting.
- The company is expanding its weather station network to further enhance AI learning and prediction accuracy.
- Cordulus CEO highlights the impact of extreme weather events and the need for real-time agricultural weather insights.
Cordulus: AI-Powered Forecasting for More Precise Weather Predictions
Cordulus, a leader in AI-powered weather forecasting, has introduced its latest rain prediction model, setting a new standard for accuracy in weather forecasting. The company’s AI model, trained on more than 8 million real-world rainfall events across Europe, delivers forecasts that are 52% more accurate than traditional methods.
This enhanced precision comes at a time when European farmers are increasingly affected by unpredictable weather patterns. Access to accurate forecasts is critical for making data-driven decisions in farming operations.
Farmers See Real-World Benefits
For many farmers, weather data plays a crucial role in optimizing sowing, spraying, and harvesting. Karsten Snitkjær, a Danish farmer, underscores the importance of reliable forecasting: “Weather data is important, especially now when it is becoming so unpredictable. It is crucial for sowing and spraying properly. Most people have gut feelings about the weather and its impact on their fields, but it’s too vague.”
The AI-powered model provides real-time updates every 10 minutes, ensuring farmers receive precise rainfall forecasts that can directly impact productivity. Máximo Bourdette Ibáñez Aldecoa, a Spanish agronomist, highlights the tangible benefits “We saw a significant increase in the accuracy of our weather forecasts. This allowed us to optimize planting and irrigation schedules, resulting in increased crop productivity.”
Cordulus Addressing Climate Challenges with Real-Time Data
With climate patterns becoming increasingly erratic, hyperlocal weather insights are more important than ever. John Smedegaard, CEO of Cordulus, explains how changing rainfall patterns demand advanced forecasting solutions: “The average yearly rainfall may not have changed significantly, but the way it falls has. Extreme weather events – prolonged droughts and very heavy rains – are becoming more frequent. Farmers need hyperlocal, real-time weather insights to adapt to our changing climate, and that is why we’re pushing the limits of forecasting.”
By providing granular, real-time forecasts, Cordulus aims to help farmers better anticipate and respond to climate variability.
Future Expansion and AI Model Enhancements
Cordulus is continuing to expand its forecasting capabilities, leveraging thousands of installed weather stations across Europe. These local weather measurements feed directly into the AI model, enabling it to adapt and improve forecasts based on regional weather trends.
