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Industries/Physical economy

Gallahand forAgriculture

Sensing, water, machinery and market timing in one operating picture. Yield per hectare and water per tonne, measured rather than estimated.

Measured in: yield per hectare · water per tonne

Illustrative model. Not client data

The constraint

A farm is a factory with weather. Run it like one.

Water

The binding constraint on most growth plans, and still the least measured input on the farm.

Margin

Input prices move, commodity prices move, and the window to act is measured in days.

Estate

Large areas, few people, and equipment and produce that walk.

Use cases

What we build for agriculture.

Each use case runs on the same stack, so the second one costs a fraction of the first.

AGRICULTURE / 01

Field and crop intelligence

Every block seen from the air, every week, with the anomaly already located.

  • Multispectral survey

    AETOS flights produce vegetation, moisture and canopy maps at sub-metre resolution.

  • Stress and disease early warning

    Anomalies flagged by block and sent to a scout with coordinates, before they spread.

  • Yield forecasting

    Yield estimated per block from imagery, weather and history, updated through the season.

  • Variable rate prescriptions

    Seed, fertiliser and spray maps exported directly to the machinery that applies them.

AGRICULTURE / 02

Water and energy

Water and power scheduled together, against soil, weather and tariff.

  • Irrigation scheduling

    Pivots and drip scheduled from soil moisture, forecast and crop stage, not habit.

  • Pump and pivot telemetry

    Run hours, pressure and flow per asset, with failures caught the same day.

  • On-farm solar and storage

    Pumping moved into solar hours and away from peak tariff.

  • Water accounting

    Litres per block and per tonne, recorded for licences, buyers and certification.

AGRICULTURE / 03

Estate, machinery and market

The farm run as one operation, from the gate to the buyer.

  • Machinery utilisation

    Tractor, harvester and implement hours tracked, with maintenance planned around the season.

  • Perimeter and livestock overwatch

    Aircraft and sensors watch fences, herds and stores, with thermal at night.

  • Pack house to buyer

    Cold chain and traceability from harvest to delivery, closing with a compliance record.

  • Market timing

    Harvest, storage and sale decisions supported by price signals and storage cost.

Integration

We work with existing farm management systems, weather stations and probes, and fly survey programmes as a service.

How an engagement runs

One number, moved and proven.

01 · SURVEY

Find the constraint

Two to four weeks on the asset. The number that costs most, the data that already exists, and what has to work first.

02 · INSTRUMENT

Connect what runs

Existing systems connected and gaps closed with vendor-neutral hardware. A baseline both sides sign.

03 · PROVE

Move one number

A bounded deployment against the baseline, reported in physical units, with a human gate on anything irreversible.

04 · OPERATE

Run it, or hand it over

We operate the system with your team, or transfer it with the code, the models and the playbook.

We do not publish client names or case studies. References are shared in a briefing, under agreement.

From the thinkingIntelligence Meets ResistanceWhy intelligence that cannot touch the physical world stalls at the first constraint.Read ↗

Briefings

Send the constraint, not a brief.

Most of our work arrives by introduction. If you run or back a agriculture operation, tell us the number that is costing you most.

  • 01Crops, hectares and the irrigation in place.
  • 02The number costing you most: water, yield gap, input cost or loss.
  • 03Data you already collect: probes, weather, yield maps.
  • 04Your buyers and their traceability requirements.

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