SciTransfer
BeeOimpact · Project

AI-Powered Biodiversity Risk Assessment and Pollution Monitoring Platform using Bee Ecosystems

environmentPilotedTRL 7

Imagine using bees as tiny, flying environmental sensors. By collecting the pollen bees bring back to their hives, we can see exactly which plants are growing and what pollutants are in the air and soil. An AI then turns this biological data into a simple map that tells a company if their land is healthy or needs help.

By the numbers
10
years of aggregated biodiversity data
100
monitoring sites
80-700
hectares of foraging area per bee colony
4 bn
flowers foraged by bees
The business problem

What needed solving

Companies struggle to accurately monitor biodiversity and pollution across large land assets due to the high cost and slow speed of traditional manual sampling.

The solution

What was built

A B2B SaaS risk assessment platform, a smart beehive with environmental sensors, a patented computer vision system for pollen detection, and a citizen-science mobile app.

Audience

Who needs this

Corporate Sustainability OfficersUrban Planning DepartmentsEnvironmental Consultancy FirmsIndustrial Site Managers
Business applications

Who can put this to work

Real Estate & Asset Management
enterprise
Target: Commercial property developers

If you are a developer dealing with strict sustainability regulations for large land assets — this project developed a SaaS platform that uses 10 years of biodiversity data to assess site risks and recommend mitigation strategies.

Public Administration
any
Target: Municipal green space managers

If you are a city manager dealing with declining urban nature — this project developed a mobile app that allows citizens and managers to map and improve local biodiversity together.

Industrial Manufacturing
mid-size
Target: Factories with large perimeter sites

If you are a factory owner dealing with poorly monitored soil and air pollution — this project developed a smart beehive and AI system that detects pollutants via pollen analysis to lower environmental impact.

Frequently asked

Quick answers

What is the cost or pricing model for this solution?

Based on available project data, the solution is delivered as a Software as a Service (SaaS) model, though specific pricing tiers are not listed.

Can this be scaled to large industrial areas?

Yes, the system leverages the fact that bees forage across a circular surface of 80 to 700ha per colony, allowing for wide-area monitoring.

What intellectual property or licensing is available?

The project has developed and requested a patent for an innovative computer vision model and imaging hardware used for automatic pollen detection.

How does this help with environmental regulations?

The platform streamlines compliance with sustainability regulations by providing site-specific biodiversity assessments and actionable mitigation strategies.

How is the data integrated into the platform?

The AI platform correlates 10 years of biodiversity data with satellite imagery, recognized datasets, and real-time sensor data from smart beehives.

Consortium

Who built it

The project is led by a single Belgian SME (BEEODIVERSITY), resulting in a 100% industry ratio. This lean structure suggests a highly commercial focus, as the entire EU contribution of EUR 1,746,209 was directed toward a single entity focused on bringing a product to market rather than academic research.

How to reach the team

Contact BEEODIVERSITY in Belgium for SaaS licensing

Next steps

Talk to the team behind this work.

Contact us to explore licensing the patented pollen detection hardware.

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