Industries / Agriculture
We build cloud-backed sensor pipelines, cross-farm dashboards, and data infrastructure for grain, oilseed, livestock, and horticulture operations managing multiple sites.
The problem
IoT sensors log data locally on farm equipment. When equipment fails, that data is gone permanently. There is no backup, no cross-farm visibility, and no way to compare performance across sites without someone driving out to check.
Agricultural IoT fails differently from industrial IoT. Remote paddocks have no wired infrastructure. Cellular coverage is intermittent. Equipment runs on battery or solar power. Sensors from different vendors speak different protocols. Standard IoT architectures break in this environment.
Operations managers need a single view across all sites that works on a phone with variable connectivity. Alert conditions like grain temperature exceeding threshold or moisture levels outside range need to fire before someone discovers the problem during a physical site visit.
AWS IoT Core or equivalent cloud ingestion connecting MQTT, Modbus, and HTTPS sensors across multiple sites. Store-and-forward architecture at the device level so data survives connectivity gaps.
Real-time dashboards accessible from any device, including mobile on variable connectivity. Configurable alerts for temperature, moisture, soil conditions, and device connectivity loss via SMS and email.
Dual-path storage: hot path for real-time operations, cold path for historical analysis and seasonal comparisons. Parquet on S3 with Athena for ad-hoc queries without idle infrastructure cost.
Protocol adapters that normalise data from heterogeneous device fleets into a common schema. Device shadow for remote configuration. Adding a new sensor type means adding one adapter, not rebuilding the pipeline.
Case Study
Real-time cross-farm visibility from any device. Data loss from equipment failures eliminated. Client IT team operates independently using the Terraform codebase.
Read case study →Insight
Farm IoT data pipelines fail for reasons that don't appear in industrial IoT textbooks. Intermittent connectivity, power constraints, and device heterogeneity require different architectural decisions.
Read insight →