Overview
In early 2026, AquaGrow, a Syrian agritech startup focusing on sustainable irrigation, approached Dragonfly Soft with a critical problem: inefficient water usage across its network of medium‑scale farms in the Homs and Idlib regions. Seasonal droughts and limited water resources meant that even a modest improvement in irrigation efficiency could translate into significant cost savings and higher yields.
Dragonfly Soft proposed a smart water management platform that combined:
- IoT sensor networks for real‑time soil moisture, temperature, and flow measurement.
- Edge‑processing gateways to pre‑filter data and reduce bandwidth usage.
- AI‑driven analytics that predict optimal irrigation schedules per field segment.
- Web dashboard for farm managers to monitor and intervene manually when needed.
The solution was built on open‑source components (MQTT, InfluxDB, Grafana) and tailored AI models developed in Python using TensorFlow, ensuring the platform could run on modest on‑premise hardware.
