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IoT Plant Monitoring System

Project Overview

The IoT Plant Monitoring System is a smart system designed to monitor plant health using sensors and send data to the cloud for analysis. It integrates with AWS IoT Core to provide real-time updates on plant conditions, including humidity, temperature, and soil moisture levels.

Features

  • Real-Time Monitoring: Tracks plant conditions and provides updates via AWS IoT Core.
  • Data Publishing: Sends sensor data to AWS IoT Core for remote monitoring and analysis.
  • Time Synchronization: Ensures accurate timestamps using NTP servers.
  • Wi-Fi Connectivity: Connects to Wi-Fi using ESP32 and saves Wi-Fi credentials.

Components

  • DHT11 Sensor: Measures ambient humidity and temperature.
  • Soil Moisture Sensor (Capacitive): Measures soil moisture content.
  • ESP32 Dev Board: Handles sensor data collection and communication with AWS IoT Core.
  • AWS IoT Core: Manages data communication and storage in the cloud.

Getting Started

  1. Hardware Setup:

    • Connect the DHT11 sensor and soil moisture sensor to the ESP32 according to the pin configuration specified in config.h.

  2. Software Setup:

    • Install the necessary libraries: WiFiClientSecure, PubSubClient, ArduinoJson, and DHT. You can also use PlatformIO to manage dependencies.
    • Update the secrets.h file with your AWS IoT credentials (endpoint, thing name, private key, certificate) and Wi-Fi details (SSID, password).
    • Set the appropriate time zone in config.h to ensure accurate timestamps.
    • Upload the code to your ESP32 board using the Arduino IDE or PlatformIO.

Usage

  1. Setup AWS IoT Core:

    • Configure your AWS IoT Core settings to create an IoT thing and obtain necessary credentials (endpoint, thing name, private key, certificate).

  2. Configure secrets.h:

    • Enter your AWS IoT credentials and Wi-Fi details in the secrets.h file.

  3. Connect to ESP32:

    • Ensure that the ESP32 is powered and connected to the same Wi-Fi network specified in secrets.h.

  4. Monitor Data:

    • Access the sensor data via AWS IoT Core. You can also integrate with other cloud-based data analysis tools for further insights.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

  • AWS IoT Core
  • Arduino Community
  • Libraries and Tools used in development

Contact

For questions or feedback, please contact Umer Ghafoor at umerghaforr@gmail.com.