Technical Approach

By the year 2050, planet Earth will be the home to more than 10 billion people, and we need to increase agricultural production for as much as 65% to feed all inhabitants. Today, we are already cultivating almost every piece of land we can, consuming more than 70% of drinking water for crops’ irrigation (and more than 60% of this water is wasted due to overirrigation) and use more than 220.000 tonnes of synthetic fertilisers and pesticides annually only in Europe, further aquifer contamination via deep infiltration, while jeopardising our fragile eco-system and causing climate change. Beyond water waste, overirrigation increases the potential of crop yield loses from fungal and bacterial foliar, disturbs the oxygen balance of the root zone, reduces plant water uptake, causes a decrease in soil temperature, thus reduces root growth, increases energy use for pumping, causes leaching of nitrogen and other micronutrients, roots rotting diseases. Similarly, livestock plays a significant role in balancing climate ecosystem. In Europe (EU27), the agricultural sector is responsible for 11% of total greenhouse gas emissions, while an excessive concentration of greenhouse gases, such as carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) from livestock enteric fermentation, raises the average annual temperature, contributing to the global warming.


AgriDataValue aims to establish itself as the “Game Changer” in Smart Farming digital transformation and agri-environmental monitoring, and strengthen the smart-farming capacities, competitiveness and fair income by introducing an innovative, open source, intelligent and multi-technology, fully distributed Agri-Environment Data Space (ADS). To achieve technological maturity, fast and massive acceptance, AgriDataValue adopts and adapts a multidimensional approach that combines state of the art big data and data-spaces’ technologies (BDVA/ IDSA/ GAIA-X) with agricultural knowledge, monetization, new business models and agri-environment policies, leverages on existing platforms, edge computing and network/ services, and introduces novel concepts, methods, tools, pilot facilities and engagement campaigns to go beyond today’s state of the art, perform breakthrough research and create sustainable innovation in upscaling (real-time) agricultural sensor data, already evident within the project lifetime.

In a nutshell

Smart Farming digital transformation and agri-environmental monitoring

  • Strengthen the Smart-Farming capacities 
  • Competitiveness and Fair income 
  • Sustainable Farming/Protection of the Environment 

AgriDataSpace adopts and adapts a multidimensional approach

  • State of the Art big data and dataspaces’ technologies
  • Agricultural Knowledge 
  • New Business Models and Agri-Environment Policies,

AgriDataValue will drive developments and strengthen the Agricultural Digital Transformation at European Level

  • Smart Farming
  • Precision Farming
  • Agri-Environmental monitoring
  • Technological superiority
  • Scale of deployment
  • Comprehensive end-to-end multi-actor involvement.

The Architecture

AgriDataValue considers a multilevel architecture, exploiting key properties of data sovereignty, locality and traceability to deliver a secure and trustworthy platform that relies on federation and decentralized processing. The LMAA approach considers (i) farmers, (ii)  agronomists, (iii) researchers, (iv) suppliers, (v) citizens & civil society, (vi) governments and stakeholders, (vii) CAP paying authorities, and public organizations, (viii) urban authorities & municipalities, (ix) regulatory bodies, prioritizing the prosperity of farmers and  well-being of animals, while contributing to the long-term goals, including food safety, sustainability, social equality, climate change reduction, bio-diversity and zero carbon footprints. To achieve these ambitious goals, AgriDataValue will develop an efficient, massively distributed, open-source, privacy-preserving, federated AI-based platform, aiming at capturing and managing agri-environment data, from a variety of heterogeneous data sources, enabling trustworthy secure and GDPR compliant interoperability and data sharing across end-users, industries and organizations.