Harvestra builds the autonomous drones and ground robots — and the AI behind them — that scan, treat, and harvest crops acre by acre, with less input and more yield.
Each unit carries its own sensing and actuation stack, coordinated by Harvestra's planning AI — so the same fleet that maps a field this morning can be treating it by afternoon.
Multispectral mapping at 2cm resolution, flagging stress, pests, and moisture variance before they're visible to the eye.
Targeted spraying and mechanical weeding at the plant level, cutting chemical use without cutting coverage.
Predictive models trained on every pass your fleet makes, forecasting yield by zone weeks ahead of harvest.
No separate scouting trips, no spreadsheets stitched together after the fact. The fleet runs a continuous loop, and Harvestra's AI decides what happens next.
Drones fly a full scan pass, building a live multispectral map of every zone.
The model isolates stress, pest pressure, and irrigation gaps zone by zone.
Ground units are routed automatically to treat only the zones that need it.
Every pass feeds the yield model, sharpening harvest timing and volume.
Every feature on Harvestra exists to move one of three numbers: input cost, labor hours, or yield per acre.
Treat the 12% of the field that needs it, not all of it — growers cut chemical and water spend by over a third on average.
Fleet runs scans and treatment passes overnight and at dawn, freeing crews for the work that still needs hands.
Zone-level yield forecasts mean you schedule equipment and buyers around real numbers, not estimates.
"We stopped guessing which third of the field needed attention. Harvestra just shows us — and now a robot's already there by the time we walk out."
Start with scanning, add ground units when you're ready. No long-term hardware contracts.
Aerial scanning and field mapping only.
Scanning plus autonomous ground treatment.
Full fleet ownership at scale.
Most growers go from first demo to first scan in under three weeks.