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.