Project 02 · AgriTech / SaaS

AgriOS Hydroponics SaaS Control Platform

Device-Agnostic Cloud Software for Multi-Site Growers

Industry
AgriTech / SaaS
Services
Cloud Software IoT Backend UI/UX DevOps
TRL
3 → 8
Duration
10 months
Technologies
Node.js TimescaleDB Kubernetes MQTT React WebSockets
AgriOS device-agnostic platform architecture
Figure 1 — Split control-plane and data-plane architecture with offline-tolerant ingestion.
AgriOS fleet overview dashboard
Figure 2 — Multi-tenant SaaS dashboard with cross-site recipe management.
AgriOS platform performance metrics
Figure 3 — Ingestion throughput, refresh latency, and per-tenant isolation metrics.
Real-world AgriOS Hydroponics SaaS Control Platform installation
Figure 4 — Real-world deployment.

Project background

Growers operating multiple hydroponic sites lacked a unified software layer to manage recipes, schedules, and device fleets across facilities. Existing tools were fragmented, hardware-locked, and offered little visibility into historical performance.

Challenge

Supporting heterogeneous devices from different vendors, handling bursts of sensor data from thousands of endpoints, and presenting complex grow data in an interface usable by non-technical farm staff. Multi-tenant security and offline-tolerant device agents were non-negotiable.

Approach & solution

We built AgriOS as a cloud-native platform with a device-agnostic ingestion layer, role-based multi-tenant access, and a recipe engine that lets growers codify grow profiles as reusable templates. Real-time telemetry streams power dashboards and alerting, while a REST and MQTT API allows third-party hardware integration. The architecture separates control-plane and data-plane concerns for horizontal scalability.

Results & benefits

The platform now manages fleets of devices across several pilot farms, with grow recipes reused across sites to accelerate replication. Operators reported significant reductions in manual data entry and faster onboarding for new staff thanks to the recipe-driven workflow.

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