Cloud-based Smart Agriculture Dashboard (AWS)

Overview

This project implements a cloud-based smart agriculture monitoring system using AWS serverless services and IoT devices. It enables real-time monitoring of soil and environmental conditions to support data-driven and efficient farming decisions.

Architecture

• ESP32 microcontroller with soil and environmental sensors
• AWS IoT Core for secure device communication
• AWS Lambda for serverless data processing
• AWS DynamoDB for scalable and reliable data storage
• Web-based dashboard for data visualization

Workflow

1. Sensors collect real-time soil and environmental data.
2. ESP32 securely publishes sensor data to AWS IoT Core using MQTT.
3. AWS Lambda processes incoming data for validation and transformation.
4. Processed data is stored in AWS DynamoDB.
5. Data is retrieved and visualized through a web dashboard.

Technologies Used

• AWS IoT Core
• AWS Lambda
• AWS DynamoDB
• ESP32
• Python (MicroPython)

Outcome

• Real-time agricultural data monitoring
• Scalable and cost-efficient serverless architecture
• Improved irrigation and crop management decisions

Future Enhancements

• Integration with weather forecasting APIs
• Automated irrigation control based on sensor data
• Advanced analytics and alert mechanisms