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Analyse the health of your parcel through biodiversity and pollution monitoring
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Working together with wild bees and implementing an image recognition AI model, BeeOmetrics is a low cost nature-based solution which aims to provide detailed environmental measurements at site level (40 ha).
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Purpose
What we’re aiming for
Our solution will first make it possible to monitor specific pollution and biodiversity metrics, facilitating in-depth ecosystem health analysis, and through AI, will also generate predictive recommendations for remediating environmental contaminants and revitalizing biodiversity.
BeeOmetrics is designed to offer metrics and recommendations to policy makers, businesses and land managers, empowering them to make informed choices.
mission
Project Timeline & Practicalities
50 sites to be selected in 2024 in Belgium and France
150 additional sites selected in 2025
Sites in both agricultural and urban settings
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2 years of data collection: 2024, 2025
HOW IT WORKS
How does BeeOmetrics work?
The machine learning model that the BeeOmetrics platform will use to make estimations of ecosystem health indicators is based on measurements taken from three primary sources:
On-site plant samples
Plants biodiversity & pollen polluants
#eDNA, bioinformatics
#mass spec/chromato analysis
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Picture of “Beeôtel” nests
Wild bee (40ha foraging area) biodiversity & population density
#AI, ML, image recognition
#participative science
Sensors
Air pollution, temperature & humidity
#remote sensors
Soil samples
Soil buidiversity & soil pollutants
#eDNA, bioinformatics
#mass spec/chromato analysis
Plant samples
Plant biodiversity
#eDNA, bioinformatics
On-site plant samples
Plants biodiversity & pollen polluants
#eDNA, bioinformatics
#mass spec/chromato analysis
Picture of “Beeôtel” nests
Wild bee (40ha foraging area) biodiversity & population density
#AI, ML, image recognition
#participative science
Sensors
Air pollution, temperature & humidity
#remote sensors
Soil samples
Soil buidiversity & soil pollutants
#eDNA, bioinformatics
#mass spec/chromato analysis
Plant samples
Plant biodiversity
#eDNA, bioinformatics
AI powered predictive platform, showing interpretation, KPIs & actions
- Indicators from air, ground, plants & wild pollinators
- Multi-factor & multi-indicator ecosys, health reports
- Recommendations for ecosys, health improvement
The BeeÔtel
The device provides accommodation for wild bee species, also called solitary bees, and integrate multiple sensors for data collection on various aspects of ecosystem health.
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Solitary bees
Several data sources are provided from the solitary bees, including:
- Pollen samples, which allows to assess the surrounding plant biodiversity and pollution by eDNA analysis and chemical analysis respectively.
- Pollinator biodiversity determined by the BeeÔtel occupancy rates that indirectly allows us to assess the health of the surrounding ecosystem.
As solitary bees reside in the BeeÔtel, they leave characteristic "plugs" in the orifices, allowing to distinguish the species occupying each opening. Leveraging this fact, we will use an image recognition algorithm (step 2) to determine (i) the occupancy rate and (ii) biodiversity of local wild bee populations. These two elements can be used as core bioindicators for the health of an ecosystem.
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Integrated Sensors
The BeeÔtel also integrates sensors to simultaneously measure (step 3) other ecosystem indicators, such as pollution levels (i.e., NO2, NH3 and particulate matter of sizes PM2.5 and PM10), temperature and relative humidity.
On-site soil samples
The second BeeOmetrics data source is on-site soil samples (step 4). These samples, taken from the vicinity of the BeeÔtel, when relevant, undergo key analyses:
- Chemical analysis to detect pesticides and heavy metals in the ecosystem.
- Environmental DNA analysis to determine soil health.
On-site plant samples
The third BeeOmetrics data source is on-site plant samples (Step 5) which can be subjected to eDNA analysis to assess the species present in the ecosystem, including invasive or remarkable plants.
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The device provides accommodation for wild bee species, also called solitary bees, and integrate multiple sensors for data collection on various aspects of ecosystem health.
Solitary bees
Several data sources are provided from the solitary bees, including:
- Pollen samples, which allows to assess the surrounding plant biodiversity and pollution by eDNA analysis and chemical analysis respectively.
- Pollinator biodiversity determined by the BeeÔtel occupancy rates that indirectly allows us to assess the health of the surrounding ecosystem.
As solitary bees reside in the BeeÔtel, they leave characteristic "plugs" in the orifices, allowing to distinguish the species occupying each opening. Leveraging this fact, we will use an image recognition algorithm (step 2) to determine (i) the occupancy rate and (ii) biodiversity of local wild bee populations. These two elements can be used as core bioindicators for the health of an ecosystem.
Integrated Sensors
The BeeÔtel also integrates sensors to simultaneously measure (step 3) other ecosystem indicators, such as pollution levels (i.e., NO2, NH3 and particulate matter of sizes PM2.5 and PM10), temperature and relative humidity.
The second BeeOmetrics data source is on-site soil samples (step 4). These samples, taken from the vicinity of the BeeÔtel, when relevant, undergo key analyses:
- Chemical analysis to detect pesticides and heavy metals in the ecosystem.
- Environmental DNA analysis to determine soil health.
The third BeeOmetrics data source is on-site plant samples (Step 5) which can be subjected to eDNA analysis to assess the species present in the ecosystem, including invasive or remarkable plants.
ABOUT
About BeeOdiversity
We are a 25-strong team of scientists, bio-engineers, biologists, data scientists, IT developers and sales and marketing professionals, and we run 150+ projects in 20+ countries in Europe, North America, South America and Africa.
Our offering is structured around consulting services and state-of-the-art, nature-based monitoring solutions to allow data-driven actions on the ground and engage relationships with stakeholders.
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