Welcome to PlantPulse – a precision agriculture project using IoT, remote sensing, and machine learning to optimize farming practices. 🌱🛰️🤖
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. 🌿📡📊
View our presentation here! 📝👀
plantpulse.app.demo.webm
- ESP 8266 Wi-Fi Module
- Soil Moisture Sensor
- DHT11 Temperature and Humidity Sensor
- Water Pump
- Relay Module
- 9V battery
- 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.
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We welcome contributions to enhance the functionality of PlantPulse! If you have ideas or improvements, please submit a pull request . 🚀
This project is licensed under the MIT License. See the LICENSE file for more details . 📄
For any queries or support, please contact us at amrithanandini2003@gmail.com. We're here to help you!📬
Thank you for using PlantPulse! Let's revolutionize agriculture together. 🌾🚜