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EXP-092Live

Three farms read from one drone flight each, with everything the flight found pinned in 3D: trees, barns, cattle, solar, tanks, land use and crop vigour

197

findings pinned across three farms, each read from the drone footage and placed in 3D

An equestrian estate in 3D with stables, paddocks and trees, each finding pinned with a marker, and a panel adding up grass, trees and buildings
1/3The equestrian estate: 85 findings pinned.
  1. 1 · The estate
  2. 2 · The smallholding
  3. 3 · The wheat belt

The full farm intelligence behind the three farm tours. Each farm is a 3D twin with every finding from its drone footage pinned where it is: trees, barns and buildings, livestock, solar arrays, water tanks, vehicles and haystacks, each with its confidence and the frame it came from. Layers add land use and grass or crop vigour mapped from the footage, a map made from the footage itself, weather and light, and a replay of the drone's flight. The panel adds it up: areas of grass, crops, ploughed ground, yard and trees, solar capacity and harvest estimates, and the findings to check first. An English equestrian estate (85 findings), a smallholding on the plains (83) and a wheat-belt farm (29).

What we measured

MeasureResultNote
Findings19785 + 83 + 29, each from the footage, with confidence and source frame
Farms3One drone flight each
MapsLand use + vigourMade from the footage, with measured areas
The other twoLinked/demos/farm-smallholding-twin and /demos/farm-plots-twin

What went wrong

  • The public farm tours had shown four zones and a handful of labels, a big step down from what the analysis found. These twins put every finding back, and each tour now links to its twin.

What happens next

  • A farm's own records (fields, herds, contracts) on the same map.
  • A second flight a season later, compared.