Active Deployment: 3 Villages

Precision Rice Irrigation

Deploy open-source IoT mesh networks to implement Alternate Wetting and Drying (AWD). Reduce methane emissions by 48% while increasing yield stability.

Live Dashboard Hardware Stack
CH4 Reduction
-48%
LORA_MESH_CONNECTED

Mission Control

NODE_ID: ESP32_FIELD_04 | GW_ID: GSM_ALPHA

Online
Logging

Water Level

5.2 cm
Target: 5.0cm Optimal Range
Soil Moisture
24%
Air Temp
19°C
POWER_STATUS
Battery
4.1V
Solar
0.8A

Real-time Telemetry

Water Level
Rainfall

System Events

10:42 AM - CRITICAL
Moisture below critical threshold (18%). Pump activation queued.
09:15 AM - INFO
Rainfall confirmed (>2mm). Irrigation postponed.
06:00 AM - SYSTEM
Daily mesh health check passed. Signal -82dBm.

Hardware Inventory

Modular, low-cost components designed for rugged deployment in paddy fields. Fully IP67 compliant.

ESP32

Controller

JSN-SR04T

Ultrasonic

Capacitive

Soil Probe

SX1276

LoRa 915MHz

Solar Kit

Energy
15km+
LoRa Range
6 Months
Battery Life
3000 Taka
Per Node Cost

Open Source Firmware

Built on PlatformIO with direct C++ logic for reliable, real-time operation. Features deep-sleep optimization, mesh self-healing, and AES-128 payload encryption.

View Repository
main.cpp
void loop() {
  // Check LoRa Mesh Messages
  mesh.update();

  if (millis() - lastLog > LOG_INTERVAL) {
    float wl = sensor.readWaterLevel();
    if (wl < CRITICAL_LEVEL) {
      triggerPump(REGION_A);
    }
    sendTelemetry(wl, battery_voltage);
  }
}