By AGRIVI.
From weather patterns to action: supporting resilient farming with AI-driven alerts.
The EFRA partners, AGRIVI, Wageningen Food Safety Research and the Consiglio Nazionale delle Ricerche collaborate to enhance AGRIVI’s AI-based pest detection system. The article presents how machine learning and real-time weather data are used to generate field-specific alerts for corn infections. The system is being adapted to account for climate-driven shifts in pest behavior and is currently undergoing validation across multiple countries.
Key Highlights:
Leveraging weather and location data to predict disease outbreaks
Generating field-specific alerts for timely farmer intervention
Adapting detection logic to reflect shifting climate conditions
Validating the model through real-life pilot testing across countries
Supporting sustainable farming by minimizing unnecessary pesticide use
