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Agriculture/
ResourcesLearning paths, the standards cited across this site and the explainers that show the systems in 3D.
Plan a deploymentUse casesOpen the explainerReference design, drawn to scale · drag to turn
Agriculture · Resources
Farm decisions on measured ground
Agrometeorological stations and soil-moisture profiles, frost and disease alerts, low-power coverage across the farm, crop condition from orbit and drone, and cooperative networks where neighbours share one grid. Needs: soil moisture and evapotranspiration, frost, heat and disease risk, crop condition, water use and coverage across fields.
Story
Rural village
A worked story shows how a agriculture deployment runs end to end, from the instruments and the radio to the edge, the console and the people who act on the result. Each story names its sources and the standards it relies on.
Read the storiesStory
Farmland
A worked story shows how a agriculture deployment runs end to end, from the instruments and the radio to the edge, the console and the people who act on the result. Each story names its sources and the standards it relies on.
Read the storiesStory
Airspace drones
A worked story shows how a agriculture deployment runs end to end, from the instruments and the radio to the edge, the console and the people who act on the result. Each story names its sources and the standards it relies on.
Read the storiesStory
Lpwan mesh
A worked story shows how a agriculture deployment runs end to end, from the instruments and the radio to the edge, the console and the people who act on the result. Each story names its sources and the standards it relies on.
Read the storiesWhat must be measured
Agriculture: what must be measured
Soil moisture and evapotranspiration, frost, heat and disease risk, crop condition, water use and coverage across fields. Each is measured by instruments sited to recognised practice, read by a base node that stamps, checks and signs every value. The quality flag and the provenance travel with the data, so a decision can be traced to the reading behind it.
Trust
Every node proves what it is
A node joins only after its hardware root of trust answers an attestation challenge. Keys stay in secure hardware, software arrives signed, and every reading carries a signature, so its origin can be checked by anyone downstream without asking us.
Time and place
Every reading carries when and where
Readings are stamped against a disciplined clock, from satellite time or a PTP grandmaster, together with the station position and its siting record. When time or position is degraded, the record says so instead of hiding it, and every analyst downstream sees the same warning.
Updates
Updates in rings, with rollback
Software and configuration reach the fleet in rings: a canary site first, then a few, then all, each ring gated on health and data completeness. A failed gate stops the wave and returns each node to its last good release, without a site visit.
Operations
Every node watched, every incident closed
The operations console shows every node with its state, its plan and its evidence. Alerts arrive with their data and a runbook; acknowledging one opens a work order, and an incident closes only when the cause is recorded and the fix verified.
Field service
One crew, from survey to repair
The same crew surveys, installs, commissions, calibrates and repairs, working from the site’s own record. Each visit updates it, so the next crew knows exactly what is there, when it was last checked and why it was changed. Spares and references are planned from that history.
What you get
Agricultural field observatories
Soil moisture profiles, micro-weather and evapotranspiration with irrigation thresholds per field. Delivered as managed service and data licence, for growers, agribusiness, irrigation districts, crop insurers. Scale: Farm to region. Service levels are written as numbers you can measure on your own dashboard.
Talk to salesNext step
Plan an agriculture deployment
Tell us the sites, the measurements and the people who will use them. We reply with a design and a scope for agriculture. An engineer replies with a survey proposal and a scope, and the plan grows from one site to the network you need, at your pace.
Plan a deploymentOpen the StudioRead the stories
01Learning paths
From first principles to a commissioned site.
01
Academy
The principles of observation, the protocol and the lifecycle of a site.Start learning →
02
Training and enablement
Operator, crew and engineer training on the systems you own.The training platform →
03
Explainers
The systems in 3D, chapter by chapter, drawn to scale.Open the explainer →
02Standards
The standards cited on this site.
- WMO-No. 134 (agrometeorological practices)
- ISO 11783 (ISOBUS)
- National mesonet programme standards
- WMO-No. 8
03Explainer and stories
See it at work.
The industry in 3D, and field stories with the systems in each and the sources behind them.
ExplainerAgriculture, explained
Farm decisions on measured ground.Open the explainer →Rural villageA village at the end of the line
Where the fibre ends, a single mast, a satellite terminal and a handful of sensors decide whether a village is on the map of observation. Canada’s target is…Read the story →FarmlandField to forecast
A farm observes water: in the soil, in the crop and in the air above it. Crop water use is computed from weather with a method agronomists have shared for…Read the story →Airspace and dronesA shared sky below 120 metres
Flying beyond visual line of sight turns a drone from a camera on a stick into infrastructure. It needs a command link that holds, an identity others can…Read the story →LPWAN and meshKilometres on a coin cell
Most environmental sensors send a few bytes a few times an hour. Low-power wide-area networks trade bandwidth for range and battery life; mesh networks…Read the story →AI weather and geospatial foundation modelsModels that learned the atmosphere
In three years, machine-learned weather models went from research papers to operations. They learned from decades of reanalysis, which means they inherit…Read the story →04Terms
What people search for in this industry.
farm weather stationfrost alertirrigation scheduling sensorsoil moisture probe LoRaWANagromet networkcrop disease modelBring us the site.
Survey, design, deployment and operation for agriculture. The form names who receives your details.
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