Sensor Node
Solar-powered LoRaWAN sensor node
Smart Agriculture System
IoT-based precision agriculture platform for large-scale tea estates.
Key Metrics
Overview
A precision agriculture solution tailored for Sri Lankan tea estates, combining IoT sensors, edge AI, and cloud analytics to optimize irrigation and detect crop diseases early.
The Challenge
Sri Lankan tea estates needed to optimize irrigation and monitor crop health across vast, hilly terrain with limited connectivity.
Our Solution
Deployed LoRaWAN-based sensor network with solar-powered nodes. Implemented edge AI for disease detection using camera traps and TensorFlow Lite models.
The Result
Reduced water usage by 30% while increasing yield by 15%. Early disease detection saved an estimated $500K in crop losses annually.
Deep Dive
LoRaWAN Network
We deployed a network of solar-powered sensor nodes across the estate, measuring soil moisture, temperature, humidity, and light levels. LoRaWAN provides reliable connectivity across hilly terrain with minimal infrastructure.
Edge AI for Disease Detection
Camera traps with STM32-based processors run TensorFlow Lite models to detect early signs of tea plant diseases. Alerts are sent immediately to farm managers via the mobile app.
Irrigation Optimization
The system uses sensor data and weather forecasts to create optimal irrigation schedules. Zone-based control allows precise water delivery, significantly reducing waste while maintaining crop health.