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Catalog – Tech-Science – Hungarian AI struggles to prevent dehydration

Catalog - Tech-Science - Hungarian AI struggles to prevent dehydration

The EU funding will finance the AI-based WREN (Water Resources in Efficient Networks) decision support system, which can help mitigate drought damage to site-specific agriculture.

The primary objective of the WREN system in the research and development project is to support the fight against the adverse effects of climate change and the fight against drought damage using modern digital tools. Details stated that through the practical use of the complex real-time decision support system, it will be able to improve the spatio-temporal resolution of existing drought monitoring systems using remote and local sensing data and implement innovations based on GIS, mathematics and artificial intelligence.

Hungarian self-designed satellite

A self-designed satellite will be developed, and the project will also include a custom-designed server and system architecture, as well as a web application that allows querying the national distribution of soil moisture in the future. The project also results in two distinct innovations:

  • A uniquely designed satellite with new measurement capabilities orbits more than commercial satellites, and
  • Calculation of soil moisture using machine learning and artificial intelligence, allowing to achieve multi-accuracy predictions using existing methods.

Innovation 756.55 million fort With the help of a non-refundable grant, Combit Számítástechnikai Zrt. and Óbuda It will be implemented as a consortium project between the university and the University of Széchenyi István until March 2025.

(Cover image: Due to drought, a thick cloud of dust travels in the footsteps of a farm machine preparing soil on the Calosimgen border on March 23, 2022. Photo: Attila Palaz/MTI)

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