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METEOROLOGICAL ASSIMILATION FROM GALILEO AND DRONES FOR AGRICULTURE

Project description

Meteorological assimilation for accurate weather forecasting and efficient irrigation

Reliable weather prediction and efficient irrigation practices are essential for modern agriculture. Advanced technology such as the Global Navigation Satellite System (GNSS) and drones allow precise atmosphere monitoring. The EU-funded MAGDA project will develop a toolchain for atmosphere monitoring and weather forecasting, and an exact weather/irrigation/crop monitoring advisory, with GNSS (including Galileo) at its core to deliver valuable information to agricultural operators. The project will exploit the potential of assimilating GNSS-derived, drone-derived and Copernicus EO-derived data sets to improve the prediction of severe weather events and weather-driven agriculture pests and diseases. The improved weather forecast will in turn drive a hydrological model for irrigation performance and water accounting.

Objective

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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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EUSPA-2021-SPACE

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Coordinator

GEOMATICS RESEARCH & DEVELOPMENT SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 347 156,00
Address
VIA CAVOUR 2
22074 Lomazzo
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Nord-Ovest Lombardia Como
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 495 937,50

Participants (6)

Partners (1)

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