Imagine having a weather app, but instead of just rain, it tells you if your food supply is at risk due to nature's changes. It uses smart computers to spot problems early and suggests better ways to farm and shop. It's like a giant digital map that helps everyone from farmers to shoppers keep the food system steady.
Food producers and retailers struggle to predict and react to sudden supply drops caused by climate change and biodiversity loss. There is a lack of a single, real-time data source to guide risk management.
An AI-powered Observatory available as an e-platform and mobile app. It includes early warning systems, decision support tools, and a network of 10 Living Labs for real-world testing.
If you are a software provider dealing with unpredictable crop yields — this project developed an AI-based early warning system that provides real-time assessments to help farmers make informed decisions.
If you are a retailer dealing with supply chain shocks — this project developed an Observatory e-platform that updates forecasts on food availability to help stabilize procurement.
If you are an insurer dealing with climate-related crop losses — this project developed prediction models based on biodiversity and climate trends to better assess regional risks.
Based on available project data, pricing details are not provided; however, the Observatory is intended to be available to society, policymakers, and the agri-food industry.
The project is currently testing solutions through 10 regional Living Labs across different European bioclimatic regions to ensure the tools work in real-world settings.
Based on available project data, specific licensing terms are not mentioned, but the project involves 18 partners including 3 industry members.
The system functions as a singular source of information, integrating real-time data on climate and biodiversity trends into a mobile app and e-platform.
The project period runs from 2022-12-01 to 2026-11-30, with the second phase (months 19 to 36) focusing on implementation in Living Labs.
The consortium is diverse, consisting of 18 partners across 11 countries. It has a moderate industrial presence with 3 industry partners (17% ratio), including 3 SMEs, balanced by 6 universities and 4 research organizations. This structure suggests a strong bridge between academic AI research and practical agri-food application.
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