Smart Agriculture System

An IoT-based solution for monitoring and automating farm conditions.

Technical Details

The Smart Agriculture System leverages a network of wireless sensors to collect real-time data on soil moisture, temperature, and humidity. This data is transmitted via a LoRaWAN gateway to a cloud platform. The platform, built on a microservices architecture using Node.js and Python, processes the data and presents it on a React-based dashboard. A machine learning model (TensorFlow) predicts irrigation needs, triggering an automated watering system controlled by ESP32 microcontrollers. The system is containerized with Docker and orchestrated using Kubernetes for scalability.