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Vertifarm

IoT + AI control and decision platform for vertical farming operations.

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Built for

  • Saffron producers
  • Leafy green vertical farms
  • Microgreen growers
  • Corporate agricultural facilities

What it solves

  • Plenty of sensor data, no time to make sense of it
  • Manual control of irrigation, light, and ventilation wastes resources
  • Operational decisions sit with people — costly mistakes
  • Monitoring multiple rooms at once is hard

How it works

  1. ESPHome-based sensor mesh (temperature, humidity, CO₂, pH, EC, light).
  2. Data collected in TimescaleDB at second-level granularity.
  3. An AI decision engine triggers plant-specific protocols — irrigation duration, light intensity, ventilation.
  4. Actuators (relays, valves, fans) controlled via MQTT.
  5. Live metrics, alarms, and manual override through the dashboard.

Tech stack

Go FiberPython FastAPINext.jsTimescaleDBMQTT + ESPHomeQdrant

Vertifarm runs a full vertical farming operation from a single platform. IoT for sensing and acting, AI for deciding. Adaptable to any controlled-environment agriculture — saffron, leafy greens, microgreens, and more.

Why IoT + AI

Three variables dominate vertical farming: temperature, humidity, light. These must shift with each plant's growth stage — manual tuning leaves yield on the table. The AI decision engine runs real-time optimization on sensor data, plant protocols, and historical yield.

Modular by design

No two facilities are alike. Vertifarm is modular: sensor types, actuator counts, room classes (growth, germination, rest) are user-defined. Adding a new plant is about writing a new protocol — no code changes.

Dashboard + alarms

Every key metric has a threshold. Exceed it, and a Telegram/email alert fires instantly. The dashboard puts every room on a single screen: which rooms are at risk, which are healthy.