Designed and implemented a full-scale IoT-based smart greenhouse system integrating embedded systems, backend APIs, and mobile control interfaces.
The system automates multiple agricultural subsystems including irrigation, ventilation, lighting, pesticide spraying, and seed planting using a distributed architecture composed of Arduino Mega, Raspberry Pi 4, Flask REST API, WebSockets, and a Flutter mobile application.
Engineered real-time sensor-driven automation using DHT11, soil moisture sensors, ultrasonic tank monitoring, and TSL2591 light sensing to ensure optimal environmental control.
Developed a serial communication bridge between Arduino and Raspberry Pi to enable command execution from a mobile application, allowing remote monitoring and control in real time.
Delivered a low-cost functional prototype (~$260) addressing real-world agricultural inefficiencies in local nurseries in the Nablus region.