Case study
AI Smart Greenhouse
ESP32 sensors, AI vision for plant disease detection, and autonomous climate control.
Status: in-progress
ESP32AIIoTPython
Problem
Greenhouses need continuous climate awareness and early disease detection — without constant human presence.
Idea
Combine edge sensing with vision and control loops so the system can sense, decide, and act.
Hardware
ESP32 nodes, environmental sensors, cameras, actuators for climate control.
Software
Telemetry pipeline, vision models for plant health, dashboards and alert rules.
Architecture
Edge devices → gateway/API → analytics & vision → control decisions → actuators, with human override.