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Features

• Real-time Sensor Monitoring:
  • Soil Moisture
  • Temperature
  • Humidity
• Web Dashboard:
  • Interactive, responsive, and user-friendly.
  • Automatic and manual refresh options.
• API Endpoint:
  • /get-sensor-data provides JSON-formatted sensor readings for integration with other applications.
• Error Handling:
  • Detects and handles invalid sensor readings gracefully.

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Requirements

Hardware:

• ESP32 microcontroller
• DHT22 Sensor
• Soil Moisture Sensor
• Breadboard and connecting wires

Software:

• Arduino IDE or PlatformIO
• ESP32 board support in Arduino IDE
• Libraries:
  • DHT sensor library

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Installation

Step 1: Clone the Repository

git clone https://github.com/Vinayakahr10/Vinayakahr10-Plant_Monitoring_System_V1.0
cd Vinayakahr10-Plant_Monitoring_System_V1.0

Step 2: Configure WiFi Credentials

1. Open the Plant_Monitoring_system_V1.0.ino file in the Arduino IDE.
2. Replace the placeholder WiFi credentials in the following lines:

   const char* ssid = "YOUR_SSID";       // Replace with your WiFi SSID
   const char* password = "YOUR_PASSWORD"; // Replace with your WiFi password
   

Step 3: Set Up the Hardware

1. Connect the DHT22 Sensor:

   • Connect the Data Pin of the DHT22 to GPIO 15 on the ESP32.
   • Connect the VCC Pin to 5V and GND Pin to GND.

2. Connect the Soil Moisture Sensor:

   • Connect the Analog Output Pin (AO) of the soil moisture sensor to GPIO A0 (or another ADC-capable pin on the ESP32).
   • Connect the VCC Pin to 5V and GND Pin to GND.

3. Power the Circuit:

   • Use the USB cable to connect the ESP32 to your computer for both power and programming.

4. Double-check the wiring to ensure all connections are secure and correct.

Step 4: Access the Dashboard

1. After uploading the code to the ESP32, open the Serial Monitor in the Arduino IDE.

   • Ensure the baud rate is set to 115200.

2. Once the ESP32 connects to your WiFi network, it will display the IP address assigned by the router on the Serial Monitor. For example:http://192.168.1.100

3. Open a web browser on any device connected to the same WiFi network.

4. Enter the ESP32's IP address in the browser's address bar (e.g., http://192.168.1.100).

5. You will see the Sensor Dashboard, which displays:

• Humidity
• Temperature
• Soil Moisture

6. Click the Refresh button on the dashboard to manually update the sensor readings, or wait for the data to auto-refresh every 5 seconds.

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Usage

Dashboard Features:

1. Real-Time Monitoring:

   • Displays the latest readings for:
     • Humidity (in percentage)
     • Temperature (in °C)
     • Soil Moisture (in percentage)
   • Automatically refreshes every 5 seconds or can be refreshed manually using the "Refresh Data" button.

2. Error Alerts:

   • If sensor data cannot be read, the dashboard will display an error message:
     "Error fetching data!"

3. REST API:

   • Access raw sensor data in JSON format by navigating to /get-sensor-data.
   • Example API response:

     {
       "humidity": 55.5,
       "temperature": 22.3,
       "soilMoisture": 72
     }
     

   • This can be used for further integration with other IoT applications or systems.

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Customization

You can modify the project as follows:

1. Change Dashboard Appearance:

   • Edit the getPage() function in the code to customize the HTML/CSS for the web dashboard.

2. Sensor Calibration:

   • If the soil moisture sensor readings are inaccurate, adjust the calculation in the loop() function:

     moisture = 100 - ((sensor_analog / 4095.0) * 100);
     

   • Replace 4095.0 with the maximum analog value specific to your sensor.

3. Add More Sensors:

   • You can connect additional sensors (e.g., light sensors, pH sensors) and extend the dashboard by updating the getPage() function and /get-sensor-data endpoint.

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Future Enhancements

Planned improvements for this project:

1. Data Logging:
   • Store sensor readings on an SD card or cloud platform for historical analysis.
2. Graphical Dashboard:
   • Add live charts for visualizing sensor data trends.
3. Mobile App Integration:
   • Develop a companion app for mobile devices.
4. Power Optimization:
   • Implement deep sleep mode on the ESP32 to reduce power consumption.
5. Notification Alerts:
   • Send alerts via email or SMS when soil moisture drops below a threshold.

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Known Issues

1. WiFi Connection Failure

• If the ESP32 cannot connect to WiFi after 10 seconds, it will restart automatically.
• Ensure your WiFi credentials are correct and the network is active.

2. Invalid Sensor Readings

• If the DHT22 or soil moisture sensor returns NaN, check the sensor connections and power supply.

3. Browser Compatibility

• The dashboard is tested on modern browsers like Chrome, Firefox, and Edge.
• Older browsers may not render the design correctly.

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1. Report Issues: Found a bug? Open an issue in the repository.
2. Add Features: Fork the repository, implement a feature, and submit a pull request.

Made with <3 by @Vinayakahr10