Precision Agriculture
Smart farming, decided by data.
Smart farming solutions with IoT and data analytics
- IoT sensor networks
- Yield forecasting
- Drone & satellite imagery
- Operator dashboards
- 0+Sector engagements
- 0%Outcome rate
- 0+Sectors served
- 0 yrsAverage tenure
Where engineering rigour earns its keep.
Modern farms produce more telemetry than most factories. We help growers and ag-tech operators turn that signal into decisions a foreman can act on at 6am - predictive yield models, soil and irrigation analytics, and field operations dashboards built for the tractor cab as much as the boardroom.
Precision Agriculture is one of the sectors we work in regularly. Engagements are scoped per-client - we never copy-paste a playbook from a different company onto yours.
- Production-grade implementationTested, observable, deployed in your environment.
- A measurable outcomeSector-specific metrics agreed up front, evidenced at the end.
- Knowledge your team ownsArchitecture docs, runbooks, on-call training.
Capabilities, sized to the problem.
Every engagement pulls from these capabilities. We tune the mix to what your sector and your stack actually need.
- 01
Field telemetry pipelines
Edge ingest from soil moisture, weather, and equipment sensors, normalized into one operator view.
- Sub-second updates
- Offline tolerant
- Vendor-neutral
- 02
Yield & input optimisation
ML models that pair weather, soil and operations history to recommend planting and inputs.
- Higher yield per hectare
- Lower input cost
- Auditable recommendations
- 03
Operator-grade UX
Dashboards that read at a glance and stay legible in the field - not just in the office.
- Mobile-first
- Glove-friendly
- Offline-capable
Three layers. One spine. Tuned to your stack.
Every precision agriculture system we ship sits on the same spine: a clean separation between the data plane, the intelligence layer and the surfaces your operators actually use. We adapt each layer to the tools you already run, not the other way around.
- Sector data planeYour existing systems, feeds and event streams - integrated cleanly, no copy-paste of data into yet another silo.
- Intelligence & decisioningModels, rules and agentic workflows sized to precision agriculture risk - explainable outputs, evals in CI, drift watched in production.
- Operator surfacesDashboards and APIs built for the people running the system every day - not for a board-deck demo.
- Yield models
- Input optimisation
- Offline sync
What changes after we ship.
Indicative deltas from precision agriculture engagements. Yours will be specific to your baseline - agreed before we start, evidenced at the end.
- 0%Faster decision cyclesOperators acting on signal, not noise.
- 0%Fewer compliance gapsAudit-ready by default.
- 0×More throughput per teamToolchain modernised, frictions removed.
- 0%Auditable by designEvery decision logged and reviewable.
Ship in weeks. Learn in days. Compound forever.
A lean operating model built for the AI era - discovery, MVP, production, evolution. We work in two-week loops with embedded GenAI tooling, instrument outcomes from sprint one, and hand over a system your team genuinely owns.
- Phase 011-2 weeks
Discover the field
Walk the farm with the operators. Map existing FMIS, sensor and equipment data, identify the highest-leverage decision to instrument first.
Deliverables- Field audit
- Data inventory
- Decision map
- Phase 023-6 weeks
Prototype in one paddock
Stand up a single field as a working pilot. Calibrate yield/input models against real telemetry, validate alerts with the people in the cab.
Deliverables- Pilot stack
- Live operator dashboard
- Calibrated models
- Phase 038-16 weeks
Scale across the operation
Roll out to remaining fields with the same pipelines and dashboards. Integrate with farm management systems and train the operators who'll use it daily.
Deliverables- Production rollout
- FMIS integration
- Operator training
- Phase 04Ongoing
Operate season after season
Re-tune models with each season's data, fold in new sensors and fields without rewriting, and keep an engineer on-call when the weather turns.
Deliverables- Seasonal review
- Model retraining
- On-call support
Built for the worst hour, not the demo hour.
Precision Agriculture systems we ship operate in environments where uptime, auditability and clear human override matter on day one. Every system we build assumes someone will get paged at 2am - and prepares for it.
- Observable from minute oneTracing, metrics and structured logs ship with the first slice.
- Safety boundaries by defaultFailure modes simulated and bounded before features get added.
- Operators in the roomWe design with the people who'll run the system, not at them.
What we build with for this sector.
Tools chosen for fit. We stay close to your existing stack and add deliberately where it earns it.
- LoRaWAN
- MQTT
- Kafka
- TimescaleDB
- InfluxDB
Common questions.
Don't see yours? Just ask.
- Yes. We treat existing FMIS, ERP and equipment platforms as first-class inputs. Most engagements integrate, not replace.
- A pilot field typically produces actionable telemetry inside 4-6 weeks, with calibrated yield or input models within one full growing season.
- Yes. We design ingest and dashboards to work offline-first, with deferred sync when connectivity returns. Critical alerts always reach the operator.
Building for Precision Agriculture?
Send us a brief. A senior engineer reads every one and replies within one business day, with an honest read on whether we're the right fit.
- Reply in 1 business day
- NDA on request
- Senior engineer, not sales