Naar de inhoud
Capabilities
Detect

Yield forecasting

Count what is actually out there

Drones count plants, fruit or ears and turn the counts into a yield estimate for each part of the field.

What this costs today

Harvest planning, storage booking and forward selling all run on an estimate, and the estimate usually comes from a hand count in a few square metres extrapolated across a hundred hectares. A bad estimate books the wrong number of trailers and sells grain that is not there.

How the flight runs

  1. Fly low

    A high resolution pass captures individual plants, ears or fruit at a density the model can count.

  2. Count

    Objects are counted per square metre and the counts are aggregated by zone rather than averaged flat.

  3. Model

    Counts are combined with your variety, row spacing and historical yields to produce an estimate range.

  4. Update

    The forecast is re-run on each later flight, so the range narrows as harvest approaches.

What the aircraft carries

  • High resolution RGB camera
  • Multispectral camera
  • RTK positioning

Once at establishment, then at two or three points through grain fill or fruit set.

What you receive

  • Plant or fruit count per zone
  • Yield estimate with a range
  • Establishment gap map
  • Harvest sequencing suggestion

What it measures

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

  • Counted objects per square metre
  • Estimate range width
  • Gap area as a share of the field
  • Estimate against final weighbridge

Where this carries the most weight

All use cases