Agribusiness and land management

Field, crop and land-use intelligence from spatial and operational data

Agricultural operations collect field boundaries, machinery logs and imagery-derived indices, but decisions are still made from spreadsheets.

Conceptual visualization only

The operational problem

Field-level data is spatial by nature and gets flattened into tables that lose the geometry. Season-over-season comparison, boundary changes and area accounting then become manual work.

Use cases we build

Each one runs as agent work with a named human checkpoint before anything is released.

Field boundary and area accounting

Problem: Reported areas disagree between systems and boundaries drift over seasons.
Agent work: Geodesic area computation, overlap detection and change reporting between boundary versions.
Human checkpoint: An agronomist confirms boundary changes before areas are restated.

Land-use and index summarisation

Problem: Index rasters and scouting notes are not summarised per field.
Agent work: Per-field aggregation of the indices and observations you supply, with coverage reported.
Human checkpoint: Low-coverage fields are flagged instead of averaged into a misleading number.

Operational log consolidation

Problem: Machinery, input and yield logs never line up with field identifiers.
Agent work: Spatial and identifier joining with an unmatched-records report.
Human checkpoint: Unmatched records are resolved by the operations team.

Compliance and traceability packs

Problem: Certification evidence is assembled by hand each cycle.
Agent work: Assembly of the evidence pack from the records already held, with gaps listed.
Human checkpoint: The compliance lead signs off before submission.

Data we typically work with

Typical inputs

Field boundaries (shapefile, GeoJSON) and farm management exports
Index and imagery-derived products you already license
Machinery, input application and yield logs
Scouting notes and certification records

What the delivered system contains

Spatial ingestion that reports rejected geometry instead of dropping it silently
Per-field measurements computed from geometry, with coverage stated
Season comparison views and downloadable reports
Approval gate before any figure is used for compliance or payment

Governance position

Area and yield figures are never estimated where data is missing. Gaps are shown
Imagery licensing stays with you; we work within your entitlements
Every derived figure traces back to its source file

We do not publish performance figures for work we have not measured with a client. Baselines are agreed during the assessment and measured afterwards.

Talk to us about agriculture

Describe the work. Your request becomes a tracked lead and a specialist replies.