Descrizione del progetto
L’assimilazione meteorologica per previsioni del tempo accurate e un’irrigazione efficiente
Previsioni meteorologiche affidabili e pratiche di irrigazione efficienti sono essenziali per l’agricoltura moderna. Tecnologie avanzate come il sistema globale di navigazione satellitare (GNSS) e i droni consentono di monitorare l’atmosfera in modo preciso. Il progetto MAGDA, finanziato dall’UE, svilupperà una toolchain per il monitoraggio atmosferico e le previsioni del tempo, nonché un sistema di consulenza su condizioni meteorologiche, irrigazione e monitoraggio delle colture incentrato sul GNSS (tra cui Galileo), allo scopo di fornire preziose informazioni agli operatori agricoli. Il progetto sfrutterà il potenziale di assimilazione di dataset ricavati dal sistema di OT Copernicus, da droni e dal GNSS per migliorare la previsione di eventi meteorologici gravi e di malattie e parassiti agricoli dovuti alle condizioni atmosferiche. Le migliori previsioni meteorologiche consentiranno a loro volta l’elaborazione di un modello idrologico per l’analisi delle prestazioni in termini di irrigazione e della contabilizzazione dell’acqua.
Obiettivo
The MAGDA project aims at developing a toolchain for atmosphere monitoring, weather forecasting, and severe weather/irrigation/crop monitoring advisory, with GNSS (including Galileo) at its core, to provide useful information to agricultural operators. MAGDA will exploit the untapped potential of assimilating GNSS-derived, drone-derived, Copernicus EO-derived datasets, in situ weather sensors into very high-resolution, short-range (1-2 days ahead) and very short-range (less than 1 day ahead) numerical weather forecasts to provide improved prediction of severe weather events (rainfall, snow, hail, wind, heat and cold waves) as well as of weather-driven agriculture pests and diseases to the benefit of agriculture operations, also in light of ongoing effects of climate change. These targets will be achieved by setting up a database of variables of interest, and an assimilation system to feed a numerical weather prediction model, which in turn drives a hydrological model for irrigation performance and water accounting to assess water use and related productivity. In addition to already existing observational networks, new dedicated networks of sensors, including GNSS and drones, to monitor atmospheric variables at high spatial resolution will be deployed in the vicinity of large farms and cultivated areas, to provide data with high spatial and temporal resolutions for the assimilation into the weather model. The delivery of the augmented forecasts and irrigation advisories to farmers will be enabled by a dedicated dashboard and APIs to already existing Farm Management Systems. The tools developed within MAGDA will represent the technical and methodological components based on which services to support agricultural operations will be defined.
Campo scientifico
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- engineering and technologycivil engineeringwater engineeringirrigation
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
HORIZON-IA - HORIZON Innovation ActionsCoordinatore
22074 Lomazzo
Italia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.