Measured directly
Electrical potential between plant and soil, node microclimate, time.

Under-canopy plant sensing
VoltreeAI measures electrical signals between living plants and the surrounding soil. We are developing a continuous data platform to add local, plant-level observations to environmental monitoring and risk assessment.
The measurement comes first. Its value for assessing plant water status and fuel moisture is being evaluated.
Xylem-to-soil potential, intact tree
An illustrative sound, not a field recording. Heartbeat and EKG are metaphors; the sensor measures electrical potential.
Where the measurement is taken
Weather stations are usually sited in open clearings, and satellites observe the canopy from above. Both are established and useful. VoltreeAI adds a different vantage point: an electrode pair at a living plant and in the soil beside it, recording the electrical potential between them, continuously and on site.
Measured directly
Electrical potential between plant and soil, node microclimate, time.
Under evaluation
What that potential says about plant water status and fuel moisture.
Not claimed
A general advantage over satellite, weather or manual methods.
In the field
These are prototype units, photographed on site. A logger sits on the trunk, electrode leads are clipped to the bark, and a second module and a soil probe sit at the base of the tree.

Main enclosure
Mounts on the trunk with a flange and houses the data logger.
Temperature and humidity sensor
In a vented housing on the main enclosure, recording conditions at the tree.
Temperature probe
Stainless steel, on its own cable.
Electrode leads
Clipped to the bark. They are the contact points for the electrical measurement at the tree.
Secondary module
Sits at the base of the tree and connects the electrode leads.
Soil moisture probe
Capacitive probe pushed into the soil beside the tree.



Company photographs of prototype hardware. Details may change as testing continues.
Potential value
Our proposed first operational audience. Local, continuous observations along power lines could add context to inspection and vegetation-management planning alongside the surveys and models already in use.
Decision it could inform: where to look first along a corridor during a dry period.
Plant-level readings could support vegetation observation and fuel-moisture research in forests and protected areas. The relationship to fuel moisture is under evaluation.
Decision it could inform: which stands deserve closer field sampling.
Potential evaluation and data partners. Whether plant-level data adds information to existing risk models is an open question we would test together, not a claim.
Decision it could inform: whether a new data source is worth including in a risk evaluation.
These are intended uses. Any operational value, including any lead time over existing methods, is an open outcome of validation, not a promised result.
Applications
Utility corridorsProposed initial market: local plant data along power lines, as potential support for inspection and vegetation management.
Natural resource preservationVegetation observation and fuel-moisture research in forests and protected areas.
Sustainable agriculturePermanent crops as a later potential use, subject to validation.
Targeted water usePotential irrigation support once the interpretation is validated.Evidence
Each claim is graded. The measurement itself is documented; its interpretation for operational decisions is still being tested.
Xylem-to-soil potential of 50-200 mV
Peer reviewed
Under-canopy conditions differ from open-clearing weather readings
Peer reviewed
Voltage change ahead of visible drought stress, controlled study
In evaluation
Correlation of the signal with fuel moisture
In evaluation
Multi-season electrode stability
In evaluation
Incremental information over existing reference methods
In evaluation
Any lead time over conventional monitoring, reported as an open outcome
Open question
Maintenance-free multi-year operation
Target

Field deployment, Boise 2009, company footage
Voltree delivered early under-canopy sensor deployments to the USDA Forest Service and the Bureau of Land Management, integrated with Vaisala weather stations at the National Interagency Fire Center in Boise, Idaho. The underlying mechanism was established through sponsored research at MIT and published in PLoS ONE in 2008.
Historical deployments and collaborations. Named organisations are not current endorsements. Both granted US patents expire in 2027.
We are looking for utilities and vegetation managers to host a first pilot with reference sampling, and for research and data partners to evaluate the results with us.