Leafy – AIoT Smart Agriculture Platform
AIoT monitoring and AI-based leaf disease diagnosis.
A smart agriculture platform combining IoT monitoring, AI-based leaf disease diagnosis, alerting, notifications, and advisory features.
Role
Backend / IoT / Web & Mobile Contributor
Tech stack
Project overview
Leafy is a graduation thesis project for smart agriculture. The platform connects IoT telemetry, backend services, web/mobile dashboards, AI-assisted disease diagnosis, and notification workflows into one practical farm monitoring system.
Main features I worked on
IoT telemetry
Sensor data ingestion, monitoring APIs, and threshold-based alert preparation.
Farm management
Backend models and endpoints for farm, crop, and user-facing monitoring data.
Notifications
Alert history and notification support for farmer web/mobile experiences.
System architecture
ESP32 Device
MQTT / HTTP
Backend Services
Database / Cache
Web & Mobile Dashboard
Notification
ESP32 Device
MQTT / HTTP
Backend Services
Database / Cache
Web & Mobile Dashboard
Notification
IoT and alert modules
Telemetry engine
Receives and structures environmental readings from ESP32 devices.
Alert workflow
Maps sensor thresholds to alert events, activity history, and user notifications.
Thesis and project metrics
Thesis Score
10/10
Award
Promising Award
Runtime
Web + Mobile + IoT