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PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. πŸšœπŸŒΎπŸ’§

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Plant Pulse B2 Welcome to PlantPulse – a precision agriculture project using IoT, remote sensing, and machine learning to optimize farming practices. πŸŒ±πŸ›°οΈπŸ€–

Project Overview 🌐

PlantPulse is designed to monitor environmental conditions and automate irrigation in real-time. Using an array of sensors and communication modules, this system collects data on soil moisture, temperature, and humidity, processes it, and takes appropriate actions to maintain optimal growing conditions. The project integrates hardware components like NodeMCU ESP 8266, soil moisture sensors, a water pump, and DHT11 temperature and humidity sensors with software tools like Firebase and Flutter. πŸŒΏπŸ“‘πŸ“Š

View our presentation here! πŸ“πŸ‘€

Tech Stack βš™οΈ

App Demo πŸ“±

plantpulse.app.demo.webm

Hardware πŸ› οΈ

  • ESP 8266 Wi-Fi Module
  • Soil Moisture Sensor
  • DHT11 Temperature and Humidity Sensor
  • Water Pump
  • Relay Module
  • 9V battery

Hardware Implementation 🌿

Circuit Diagram ⚑

Repository Structure πŸ“‚

  • arduino codes/: Contains the Arduino sketches for reading sensor data, controlling the water pump and integrating them with Firebase Database.
  • croprec model/: Contains the TensorFlow Lite model for crop recommendation.
  • plantapp/: Contains the Flutter application code for the app.

Contributors 🀝

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@Manasha-1204
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@amri-tah
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@sudheerkumarchowdary
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@BURUGURAHUL

Contributing 🌟

We welcome contributions to enhance the functionality of PlantPulse! If you have ideas or improvements, please submit a pull request . πŸš€

License πŸ“œ

This project is licensed under the MIT License. See the LICENSE file for more details . πŸ“„

Contact πŸ“§

For any queries or support, please contact us at amrithanandini2003@gmail.com. We're here to help you!πŸ“¬

Thank you for using PlantPulse! Let's revolutionize agriculture together. 🌾🚜

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PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. πŸšœπŸŒΎπŸ’§

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