Smart Agriculture System Using IoT Sensors

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About Course

  • Tools & Languages: Arduino, Raspberry Pi, Python, MQTT, AWS IoT Core, Google Cloud IoT, Node-RED
  • Objective: Develop a smart agriculture system that uses IoT sensors to monitor soil moisture, temperature, humidity, and crop health. Implement real-time data collection and visualization on a cloud platform. Use machine learning algorithms to predict crop yield and automate irrigation based on sensor data. Create a web interface for farmers to manage and monitor their fields.
  • Skills Needed: IoT sensor integration, cloud computing (AWS IoT, Google Cloud IoT), machine learning for predictive analysis, MQTT for messaging, web development (Node-RED).

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