Imagine a smart filter for the earth that doesn't just clean water, but decides exactly how to refill underground reservoirs to keep them healthy. It uses AI and real-time sensors to act like a security system, spotting pollution before it ruins the water supply. It's like having a digital weather forecast and a water purifier combined to protect our hidden water reserves.
Climate change and global pollution are contaminating groundwater, threatening food security and human health. Current water management lacks real-time, AI-driven tools to prevent this contamination during aquifer recharge.
The M-AI-R Decision Support System (DSS), an AI-powered tool integrating real-time sensor data and social feedback. It includes specialized sensor control, processing, and power electronics for field implementation.
If you are a water utility dealing with unpredictable groundwater quality due to climate change — this project developed the M-AI-R DSS that uses real-time monitoring to detect threats and optimize water recharge. This ensures a stable, clean water supply for the city.
If you are a consultancy dealing with complex groundwater contamination risks for clients — this project developed an AI-based evaluation tool tested across 7 demonstration sites. You can use this data-driven approach to provide more accurate risk assessments and protection strategies.
If you are a hardware company dealing with the need for specialized water monitoring electronics — this project developed control, processing, and power electronics for sensors specifically for aquifer recharge sites. This provides a blueprint for high-durability sensing equipment in risk locations.
Based on available project data, the specific commercial price of the system is not listed; however, the project received an EU contribution of EUR 3,995,749 for development.
Yes, the project is testing the system across 7 demonstration sites in different climates and pollution levels to ensure high replication and upscaling potential.
Based on available project data, specific licensing terms are not provided, but the project involves a consortium of 16 partners including industry and research organizations.
Yes, the project works with policymakers to strengthen EU policies for the prevention of groundwater contamination and aims to meet 2030 zero pollution goals.
The project period runs from 2022-12-01 to 2026-11-30, with validation of technologies up to TRL5.
The consortium is well-balanced for technology transfer, consisting of 16 partners across 8 countries. It features a strong mix of 5 universities and 4 research organizations for core R&D, supported by 3 industry partners (19% ratio) and 3 large water utilities as associated partners, ensuring the AI tools are grounded in real-world utility needs.
Contact NOVA ID FCT - Associacao para a Inovacao e Desenvolvimento da FCT in Portugal
Contact us to connect with the M-AI-R DSS development team for early adoption pilots.
