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Agriculture Software Development

Agricultural software runs where connectivity is worst, on a calendar dictated by weather and biology, and increasingly has to produce provenance records that buyers audit.

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Helps us propose a realistic scope.

What makes this sector different

Constraints specific to agriculture

The problems that shape software here, and that generic engineering tends to discover late.

Connectivity is genuinely poor, not merely inconvenient

Fields are where mobile coverage ends. Anything expecting a live connection during fieldwork will not be used, so local-first operation is the baseline.

The calendar is set by biology and weather

Planting and harvest windows do not move for a release schedule, and a system unavailable during harvest has failed regardless of its annual uptime figure.

Provenance is now a commercial requirement

Buyers and regulators increasingly require traceability from field to shipment, which means capturing records during work rather than reconstructing them for an audit.

Sensor data volume against thin bandwidth

Field sensors generate continuous readings over connections that cannot carry them, so aggregation has to happen at the edge by necessity rather than as an optimisation.

What we build

Software we build for agriculture

Farm management systems

Field records, input application, yield capture and equipment logs, structured around how the season actually runs.

Traceability and provenance

Chain-of-custody records from field through storage to shipment, captured as work happens and exportable for audit.

Sensor and telemetry platforms

Soil, weather and equipment telemetry with edge aggregation, so thin connectivity carries summaries rather than raw streams.

Offline-first mobile tools

Field applications that work fully without coverage and reconcile when a device returns to signal.

Regulatory context

Standards that apply to software in this sector

What the software has to be built to satisfy. Which of these apply to you depends on your jurisdiction, your data and your customers.

[ 01 ]

Food safety & traceability

  • FSMA (US)
  • EU General Food Law
  • One-up one-down traceability

[ 02 ]

Product identification

  • GS1
  • GTIN

[ 03 ]

Certification records

  • Organic certification
  • GlobalG.A.P.

[ 04 ]

Personal data

  • GDPR

These are the standards we design and build to meet. Certification or attestation of your organisation is a separate exercise, carried out by a qualified assessor — we can support that process with documentation and evidence, but we do not certify it.

Tell us what the season demands

Discuss an agriculture project
Services

How we'd approach it

The service lines this sector most often needs.

All services
IoT & Connected Devices

IoT & Connected Devices

Connectivity, telemetry pipelines and fleet management for physical estates in the field.

Mobile App Development

Mobile App Development

Native and cross-platform iOS and Android apps, built for real network conditions rather than office Wi-Fi.

Data Analytics & Engineering

Data Analytics & Engineering

Pipelines, warehousing and reporting built so the numbers reconcile and people act on them.

Custom Software Development

Custom Software Development

Bespoke systems shaped around your operations, integrated with the tools and data you already run on.

Questions

Agriculture: common questions

Something specific to your operation?

Send it over — sector questions are the ones we most like getting.

Ask us
  • 01

    How do you handle areas with no mobile coverage?

    By designing for it rather than around it. Field applications hold everything locally and function completely offline; data moves when a device reaches coverage, and the interface makes clear what has synchronised and what has not — because a worker needs to know their morning's records are safe.

  • 02

    Can you integrate with farm equipment and existing sensors?

    Generally yes, depending on what the equipment exposes. Machinery increasingly offers telemetry through manufacturer platforms, and third-party sensors typically publish over standard IoT protocols. Where a device is closed, a gateway that reads and translates is usually the practical route.

  • 03

    What does traceability actually require in software terms?

    Records captured at the point of work, tied to a location and a time, and linked forward as product moves through storage and processing. The requirement is usually expressed as one-up one-down — knowing your immediate supplier and immediate customer for any lot — which is achievable if capture is designed in and effectively impossible to reconstruct later.

  • 04

    How much sensor data should be transmitted?

    Summaries rather than raw readings, in almost all cases. Bandwidth in rural deployments is the binding constraint, so aggregating on the device and transmitting periodic summaries plus any threshold breaches preserves what is actually used while remaining within what the connection can carry.

Next step

Tell us what the season demands

Describe your operation, your connectivity and the records you need to produce. We'll come back with an approach.

  • Reply within one business day
  • NDA on request