Imagine a high-tech security system for our lakes and oceans that spots 'unwanted guests' like invasive fish or plants before they take over. It uses a mix of DNA detective work and smart robots to find these pests. It even creates special coatings for ships to stop these species from hitchhiking across the globe.
Invasive species destroy aquatic biodiversity and damage human health and economy. Current detection methods are often too slow or imprecise to prevent permanent ecological damage.
The project is developing AI-driven monitoring tools, eDNA detection methods, robotics for aquatic environments, and nano-coatings for ships.
If you are a ship owner dealing with biofouling and regulatory fines — this project developed nano-coatings for marine vessels that prevent invasive species from spreading. This reduces the need for aggressive cleaning and ensures compliance with biosecurity laws.
If you are a consultancy dealing with slow and expensive manual water sampling — this project developed eDNA approaches and robotics for efficient detection. This allows for faster, more accurate identification of invasive species across large aquatic areas.
If you are a port authority dealing with the ecological degradation of your waters — this project developed AI-driven early warning and risk modelling tools. This helps in prioritizing where to deploy eradication efforts to protect local biodiversity.
Based on available project data, specific pricing or cost structures for the tools are not provided.
The project aims to establish solutions at multiple governance levels, from local to international, suggesting a design intended for wide-scale application.
Based on available project data, there is no specific information regarding the IP or licensing agreements for the technologies developed.
The project is specifically designed to align with the EU Biodiversity Strategy for 2030 and the IAS Regulation.
The project runs from 2025-01-01 to 2027-12-31, meaning tools will be developed and refined during this window.
The consortium is well-balanced for technology transfer, featuring 20 partners across 14 countries. With a 30% industry ratio (6 companies, including 5 SMEs), there is a strong commercial incentive to move the AI and robotics tools from the 7 universities and 5 research centers into the market.
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