SciTransfer
DiverSea · Project

AI-Powered Marine Biodiversity Monitoring System Using DNA and Autonomous Robotics

environmentTestedTRL 5

Imagine being able to identify every fish and plant in the ocean just by testing a cup of water, like a forensic crime scene. This system uses underwater robots and satellites to collect these genetic clues and AI to map out where species are living. It turns messy ocean data into a clear digital dashboard for making better environmental decisions.

By the numbers
21
partners
14
countries
9
total deliverables
The business problem

What needed solving

Current marine monitoring is fragmented and cannot explain why biodiversity is declining. This makes it impossible for policymakers to make evidence-based decisions to stop biodiversity loss.

The solution

What was built

A passive eDNA sampling prototype for AUVs and the MARBIOSE Dashboard for visualizing environmental indicators.

Audience

Who needs this

Underwater drone manufacturersMarine conservation NGOsCoastal regulatory agenciesEnvironmental data analytics firms
Business applications

Who can put this to work

Maritime Technology
SME
Target: Underwater Robotics Manufacturer

If you are a robotics company dealing with limited sensor capabilities — this project developed a passive eDNA sampling prototype that integrates with AUVs to enable large-scale genetic collection.

Environmental Consulting
mid-size
Target: Marine Impact Assessment Firm

If you are a consultancy dealing with fragmented biodiversity data — this project developed the MARBIOSE Dashboard that provides policy-ready insights and quantified scenarios for ecosystem services.

Government & Public Sector
enterprise
Target: Coastal Management Agency

If you are a regulator dealing with the decline of marine biodiversity — this project developed an AI-ML architecture that predicts biodiversity dynamics and identifies urgent data gaps.

Frequently asked

Quick answers

What is the cost or price of implementing this system?

Based on available project data, specific pricing or implementation costs are not provided.

Can this be scaled to an industrial level?

The project focuses on scalable technologies, including the use of AUVs for large-scale eDNA collection and satellite remote sensing for comprehensive mapping.

What are the IP and licensing terms for the DNA-marks approach?

Based on available project data, specific IP or licensing agreements are not mentioned.

How does this integrate with existing monitoring programs?

The system integrates emerging molecular techniques with autonomous systems, satellites, citizen science, and existing monitoring program data collection.

What is the timeline for the results?

The project is active from 2023-09-01 to 2027-08-31.

Consortium

Who built it

The consortium is heavily academic, with 14 universities and 4 research centers. However, it includes 21 partners across 14 countries, providing a broad geographic reach. The industrial presence is low at 5% (1 industry partner), suggesting the current focus is on technical validation rather than immediate commercialization.

How to reach the team

Contact NTNU (Norway) for technical details on AUV eDNA integration.

Next steps

Talk to the team behind this work.

Contact us to find a partner for piloting these DNA-sampling tools.

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