Representative Architecture
IoT Irrigation Controller
Soil moisture and telemetry
Electronics Build
IoT Irrigation Controller
Automated irrigation system using ESP32 soil moisture sensors, weather API integration, and zone-based watering schedules.
Overview
Complete IoT irrigation solution monitoring soil conditions across multiple zones, integrating weather forecasts, and automating watering with manual override capabilities.
Challenge
Manual irrigation wastes water and fails to adapt to changing conditions. A reliable, low-power automated system was needed for multi-zone garden management.
Approach
Deployed ESP32 sensor nodes with capacitive soil moisture sensors, centralized MQTT-based control logic, and weather API integration for predictive watering.
Architecture
ESP32 nodes with soil sensors per zone. MQTT broker on Raspberry Pi. InfluxDB for time-series data. Grafana dashboards. Relay-controlled solenoid valves.
Implementation
Programmed deep-sleep sensor polling for battery efficiency. Built zone scheduling with weather override. Created mobile-friendly web UI for manual control.
Results
40% reduction in water consumption while maintaining optimal soil moisture across all zones.
Architecture Visuals
Representative architecture diagrams. Actual facility photographs and confidential diagrams are not published.
Representative Architecture
ESP32 Sensor Node
Soil moisture and telemetry
Electronics Build
Representative Architecture
Irrigation Architecture
Sensor to valve pipeline
Architecture Diagram
Lessons Learned
- Capacitive sensors outperform resistive sensors in long-term outdoor deployment
- Weather API integration prevents unnecessary watering during rain events