Low-Cost IoT Sensor Node for Agricultural and Environmental Monitoring

Overview

This project presents a low-cost IoT sensor node designed for real-time agricultural and environmental monitoring. It integrates the Raspberry Pi Pico W, various sensors, and a user-friendly dashboard to provide accurate and timely data for informed decision-making.

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Features

• Real-Time Data Collection: Monitors temperature, humidity, pressure, altitude, and soil moisture.
• IoT-Enabled Transmission: Utilizes Wi-Fi for seamless data communication to a Flask server.
• Interactive Dashboard: Visualizes environmental data dynamically using Flet.
• Cost-Effective Solution: Affordable hardware components ensure accessibility for a wide range of users.

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Folder Structure

Low-Cost-IoT-Sensor-Node-for-Agricultural-and-Environmental-Monitoring/
├── Dashboard-integrated-Server/
│   ├── dashboard.py  # Flet dashboard source code
│   ├── testing.py #Python code to test the working of the dashboard using random inputs through api to simluate the working of the IOT device
├── RaspberryPi/
│   ├── main.py  # MicroPython script for Pico W
├── images/
│   ├── dashboard.png  # Screenshot of the dashboard
├── README.md

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Dashboard Preview

Below is a preview of the real-time monitoring dashboard:

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Prerequisites

1. Hardware:

   • Raspberry Pi Pico W
   • AHT25 Sensor (Temperature & Humidity)
   • BMP280 Sensor (Pressure & Altitude)
   • Capacitive Soil Moisture Sensor

2. Software:

   • Python 3.9 or above
   • Required Python libraries: flet, flask, json, threading, time, machine, network, ujson, usocket

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Setup and Usage

1. Hardware Setup:

   • Connect the AHT25, BMP280, and soil moisture sensors to the Raspberry Pi Pico W as per their specifications.
   • Ensure the power supply and wiring are configured correctly.

2. MicroPython Code:

   • Navigate to the RaspberryPi/ folder.
   • Flash the main.py script to your Raspberry Pi Pico W using a tool like Thonny.
   • Update Wi-Fi credentials and Flask server IP in the script.

3. Server and Dashboard:

   • Navigate to the Dashboard-integrated-Server/ folder.
   • Run the dashboard.py script to start the Flask server and the Flet dashboard:

     flet run dashboard.py

4. Monitor Data:

   • Access the real-time data on the Flet dashboard.

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Key Components

• Raspberry Pi Pico W: Microcontroller for data collection and transmission.

• Sensors:

  • AHT25: Measures temperature and humidity.
  • BMP280: Measures atmospheric pressure and altitude.
  • Capacitive Soil Moisture Sensor: Monitors soil moisture levels.

• Flask Server: Receives data from Pico W and updates the dashboard.

• Flet Dashboard: Displays real-time environmental data.

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Acknowledgments

Special thanks to open-source communities and IoT enthusiasts for their contributions and support.

License

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