500+ drones.
Not one pilot.
Every acre,
seen from the air.
A large agricultural operation had more land than any crew could walk. Crop problems went undetected until harvest. We built the autonomous flight agents that fly it for them — and the platform that turns every mission into intelligence.
in fleet
required
centimeter-accurate
per day
Land no team can walk
Large-scale row-crop farming is a land problem as much as it is a farming problem. When your operation spans tens of thousands of acres, you can't see what's happening in the back forty from a tractor cab — or from an office window.
"The problems were always there. We just couldn't see them until it was too late to do anything about it."
Crop disease, irrigation failure, pest pressure, and drainage issues can fester across hundreds of acres before any crew on the ground notices. By the time someone walks the field and reports back, the window for intervention has closed. Traditional aerial surveys cost thousands per flight and deliver imagery days later.
Before vs. after
| Dimension | Ground crew | X402 fleet |
|---|---|---|
| Survey cadence | Days or weeks between walks | Every field, every day |
| Acres per day | Hundreds at most | ~18,000+ acres |
| Pilots needed | One per drone, per flight | Zero — agents fly autonomously |
| Geo-tagged record | Notes, memory, guesses | Dated, GPS-stamped, searchable |
| Anomaly detection | Human eye on the ground | AI flags from above before spread |
| Fleet scale-up | Hire more people | Add drones, same platform |
The fleet at work
Every drone follows a boustrophedon sweep path — the same lawnmower-stripe pattern used by precision agriculture for complete, non-overlapping coverage. RTK-GPS keeps each drone on track to centimeter accuracy. The field never has a gap.
How the intelligence works
The hardware is a drone. The product is an autonomous agent. There's a meaningful difference — and it lives in the software and the systems around the aircraft.
RTK-GPS navigation
Each drone receives real-time kinematic corrections that push positional accuracy to centimeter scale — the kind of precision needed to fly consistent, non-overlapping rows across a field without visual ground references.
Centimeter-accurate positioningBoustrophedon path planning
Flight paths are computed as boustrophedon (back-and-forth) sweeps tuned to each field's polygon boundary and the drone's sensor footprint. Every square meter is covered exactly once, minimizing flight time and battery cycles.
Complete, non-overlapping coverageAutonomous flight agents
Flight agents handle the full mission lifecycle: schedule, pre-flight check, route upload, takeoff, survey execution, return-to-home, and landing — with weather holds, battery management, and handoffs between charging cycles built in.
Zero pilot intervention requiredImagery pipeline & fleet brain
Captured imagery is geo-tagged, edge-processed, and ingested into the platform on landing. A fleet coordination layer tracks every drone's state — scanning, in transit, charging, standby — across 500+ aircraft simultaneously.
Geo-tagged · searchable · dated recordWhat changed on the ground
The operation now sees every acre on a regular cadence. Problems that used to fester unseen are caught from the air before they spread. The farm holds a dated, geo-tagged photographic record of its land over time — flown autonomously, start to finish.
in the fleet
per mission
per day
was weeks between walks
Ready to talk?
Does your operation have
land no team can walk?
Whether you're managing thousands of acres or a smaller operation, autonomous aerial intelligence scales to fit. Tell us what you're working with — we'll give you a straight answer within a day.
No sales team. The engineer who scopes your project builds it.