FARMWISE

The main objective of this project is to provide farmers and policy makers with valuable local and regional insights into decision support systems that will help inform data-driven policy decisions in these important areas.

• The FARMWISE project will develop artificial intelligence (AI) technologies for more efficient
  European water policy and decision-making, based on research-based technologies to solve the most important problems of water pollution and
  climate change.

• To this end, the FARMWISE consortium brings together the best European water, agricultural,
  climate and AI researchers to address the sustainability of water resources, the natural environment and efficient agriculture in the highly diverse European landscape in the face of current and future climate change.

• The methodology involves the development of a new data architecture that enables efficient
  processing of large amounts of data and the generation of high-quality results.
  Ethical AI algorithms are thoroughly validated and generalized before being applied to gain
  meaningful insights into the detection of underlying patterns and trends.

• Thus, the decision support system, which is mainly developed by the University of Applied Sciences
  Darmstadt (h_da) under the leadership of Professor Nazemi, is the central element of the project.

• It seamlessly combines artificial intelligence methods with interactive visualizations to create
  innovative visual analytics systems. These enable a user-friendly analysis of the agricultural system as a whole, including environmental, economic, social and technological factors.

• Through an integrated option analysis, measures that have not yet been implemented are
  evaluated by artificial intelligence models, so that wrong decisions are reduced.

• Possible future scenarios and their effects are also modelled using AI methods and visualized for specific target groups.

• The focus of applied research is particularly on reducing factors that are harmful to the
  environment. Here, too, systems thinking is applied so that factors influencing water, air and land pollution are identified and ideally eliminated.

• However, the sustainable use of these environmental resources also plays a special role in the overall project. The technology developed by Darmstadt University of Applied Sciences is being
  developed as a modular component of the AI framework.

The impact of the FARMWISE project will increase interest and collaboration among Quadruple Helix stakeholders, including policy makers, researchers, industry and civil society, for science-based
solutions.

Duration: 01.01.2024 - 31.12.2026

Funding body: European Commission within the framework program Horizon Europe

Project management h_da: Prof. Dr. Kawa Nazemi

A total of 20 partners from 12 countries are involved

Project partners:

• Lunds Universitet, Sweden
• Wageningen University
• Oulun Yliopisto, Netherlands
• Uniwesytet Przyrodniczy We Wroclawiu, Poland
• Universitat Politecnica de Valencia (UPV), Spain
• Alma Mater Studiorum Universita di Bologna, Italy
• Bureau de Recherches Geologiques et Minieres (BRGM), Consozio di Bonifica di second grado per il canale Emiliano, Italy
• Romagnolo canale Giandotti
• Agencia estatal Consejo superior de Investigaciones cientificas, Spain
• Ab Gradstanga Nygard, Sweden
• Amoreaqua ab, Sweden
• Agricolus S. R. L., Italy
• Sustainable Innovation Technology Services Limited, Ireland
• National Scientific Center Institute for Soil Science and Agrochemistry Research named after O.N.Sokolovsky, Ukraine
• IO-DIT AB, Sweden,
• Cobet Tratamientos del agua SL, Spain
• Nutricontrol SL, Spain
• Universite de Neuchatel, Switzerland
• University of east Anglia, UK