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MAGDA

Financiado

METEOROLOGICAL ASSIMILATION FROM GALILEO AND DRONES FOR AGRICULTURE

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 a... ver más

30/04/2025

GRED

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

GEOMATICS RESEARCH DEVELOPMENT SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 8 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-10-17

HORIZON-EUSPA-2021-SPACE-02-51: EGNSS and Copernicus applications f... Expected Outcome:Projects are expected to contribute to the following outcomes:

I+D +1

Cerrada hace 2 años

0% 83% 100%

8 Participantes

GRED

347.16K€ | Lider

186.25K€ | Participante

FONDAZIONE CIMA

298.13K€ | Participante

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Duración del proyecto: 30 meses Fecha Inicio: 2022-10-17
Fecha Fin: 2025-04-30

Líder del proyecto

GEOMATICS RESEARCH DEVELOPMENT SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto 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.

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