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Targeted weed control

Spray the weeds, not the field

Cameras and on-board models find weeds plant by plant, then only the affected square metres get treated.

What this costs today

Blanket spraying treats the whole field because nobody knows which parts actually carry weeds. On a typical arable field the weed pressure is patchy: dense along headlands and tramlines, thin across the middle. Every litre applied to clean ground is money spent, residue added, and resistance pressure built for no agronomic return.

One flight, 98 weeds, 62 zones

This is the prescription from the demonstration field, drawn from the flight record rather than an illustration. Orange is ground the boom opens over. Everything else stays dry.

Treated
4.34 ha
Field
24.6 ha
Resolution
1 cm/px
Flight time
31 min
Read the full flight record
Weed map of Lindenbach Nord: 98 detections across 62 treatment zones
Lindenbach Nord, winter wheat. Modelled demonstration field.

How the flight runs

  1. Scan

    The drone flies a fixed grid at low altitude and photographs the canopy at centimetre resolution.

  2. Classify

    An on-board model separates crop from weed and tags each detection with a species guess and a confidence score.

  3. Map

    Detections are clustered into treatment zones and written to a prescription map with a buffer you set.

  4. Treat

    The map loads into your section-control sprayer or spot-spray rig, which opens nozzles only over the marked zones.

What the aircraft carries

  • RGB camera at 1 cm/px
  • Downward LiDAR for canopy height
  • RTK positioning

Two to four scouting flights per crop, timed to the herbicide windows.

What you receive

  • Weed density map
  • ISOXML / shapefile prescription
  • Species breakdown per zone
  • Before and after comparison

What it measures

Readings this capability produces on your fields. Measurements, not promises.

  • Treated area as a share of field area
  • Product volume per hectare
  • Detections by species
  • Zone count and mean zone size

Where this carries the most weight

All use cases