Enhancing Agricultural Weather Forecasts through Vertical Profile Data Assimilation from Meteo-Drones
MAGDA aims to improve weather forecasts for agriculture by using advanced data sources, including weather drones. Our goal is to provide farmers with reliable predictions to adapt
Soil Moisture Estimation Using Ground-Based GNSS Reflectometry: A MAGDA Implementation by GReD
Understanding soil moisture is essential for efficient agriculture, water resource management, and environmental monitoring. GNSS Reflectometry (GNSS-R) offers a novel approach to
Maximising MAGDA’s impact through sustainable exploitation pathways
The MAGDA project aims to improve meteorological assimilation for agriculture through the use of advanced GNSS, IoT sensors, and drone technologies. To maximise the impact and ensu