PRECIOUS is a Horizon Europe project tackling food loss and waste (FLW) with a data-driven, AI-enabled approach.

The project integrates big data and AI to measure FLW, designs sector-specific prevention strategies, and assesses environmental and economic impacts—while accounting for rebound effects that can offset savings. Its Tool Suite includes an AI predictor, impact simulator, actions tracker, integrated assessment models, a public-perception tool, a Knowledge Hub, and decision-support for the food–energy–environment–economy nexus. Two use cases (fresh produce and meat) and EU-wide stakeholder engagement aim at scalable, policy-aligned deployment.

Comprehensive FLW prevention and decision toolkit; replication strategies and sustainability roadmaps; two communities of practice; LCA studies, training materials, and ~10 publications to support EU targets.

Partneriai:

  • University of Deusto;
  • IIASA;
  • CluBE;
  • YAGHMA B.V.;
  • E3 Modelling AE;
  • CSCP;
  • Greenovate! Europe;
  • Universitat Jaume I;
  • Eco Intelligent Growth SL;
  • 2.-0 LCA;
  • Technische Universität Berlin;
  • RINA;
  • ASINCAR;
  • Vegalsa;
  • EIT Food;
  • UNIMOS Alliance;
  • AgriFood Lithuania;
  • Innomine.