This project is a Mobile Application designed to control and monitor a Greenhouse Environment using the ESP8266 microcontroller. The application allows users to manage devices like fans, lights, and sliding windows, and to monitor temperature and other environmental factors. Data is sent to a Firebase Realtime Database and displayed in the Flutter app. The project also includes several advanced modules for crop prediction, cost estimation, pest classification, weed classification, IoT control, and agricultural news updates.
- Devices: Control fans, lights, and sliding windows.
- Sensors: Monitor temperature, soil moisture, and smoke.
- Automation: Automatic control based on sensor values.
- Database: ESP8266 sends data to Firebase Realtime Database.
- Manual Input: Enter soil and climatic parameters manually.
- Automatic Input: Fetch climatic data using Weather API.
- Model: Random Forest Classifier hosted on Flask.
- Model: Predict the cost of cultivation using parameters sent from the app.
- Technology: Flask hosted model.
- Image Processing: Capture and send images to Flask server.
- Model: MobileNet and Sequential model from Keras.
- Response: Flask server processes the image and returns the pest classification.
- Similar to Pest Classification: Capture, send images, process, and classify.
- Agricultural News: Fetch latest news using News API.
- Notifications: Get alerts related to agriculture and climate.
- Firebase Authentication: Secure login using email and password.
- Firebase Cloud Messaging: Notifications for IoT alerts (e.g., smoke detected, soil moisture levels).
- Flutter: For mobile application development.
- Firebase: Realtime Database, Authentication, Cloud Messaging.
- ESP8266: Microcontroller for IoT.
- Flask: Backend server for hosting machine learning models.
- Replit: For running Flask code.
- Provider: State management in Flutter.
- APIs: Weather API, News API.
- Create a Firebase project.
- Add your
google-services.json
file for Android. - Add your
GoogleService-Info.plist
file for iOS.
- Ensure Flask and required libraries are installed.
- Deploy your Flask server on Replit or any other hosting platform.
- Install Flutter dependencies.
flutter pub get
flask run
flutter run
Here are some screenshots of the application
- Sarath Sreedhar J - B.Tech Information Technology, 2024
- Shegin Ismail A P - B.Tech Information Technology, 2024
- Vishnu C N - B.Tech Information Technology, 2024
- Maheswari S M - B.Tech Information Technology, 2024
- Dr. Deepthi Saseedharan
- Prof. Rejin R
This project is licensed under the Creative Commons Legal Code.