Summary:
Web-based DSSs are essential for precision crop protection, relying on weather data. Leaf wetness is key for fungal infections but often lacks reliable measurements, leading to many estimation models without a standard. This study developed a robust model for diverse European climates. 5 machine learning and 5 existing models were compared using European data. LSTM and decision tree performed best. The LSTM model was integrated into a DSS platform for real-time use, improving prediction accuracy