Smart Garden System

An intelligent watering and plant monitoring system powered by Raspberry Pi and machine learning.

Features

• Automated Watering: Smart watering based on soil moisture, weather forecast, and plant needs
• Environmental Monitoring: Track soil moisture, temperature, humidity, and atmospheric pressure
• Plant Health Analysis: Camera-based monitoring with ML for growth tracking and disease detection
• Weather Integration: Adjusts watering schedule based on weather forecasts
• Data Visualization: Monitor your garden's health through an intuitive dashboard
• Remote Control: Manage your garden from anywhere
• Telegram Notifications: Get alerts and status updates via Telegram

Hardware Components

• Raspberry Pi (3B+ or 4)
• Soil Moisture Sensor
• BME280 Sensor (Temperature, Humidity, Pressure)
• Raspberry Pi Camera Module
• Water Pump/Solenoid Valve
• Relay Module

Software Architecture

• Python backend for sensor integration and control logic
• SQLite/PostgreSQL database for data storage
• TensorFlow/PyTorch for plant analysis ML models
• Flask web interface with interactive dashboard
• OpenWeatherMap API integration
• Telegram notifications
• Mock implementations for development without hardware

Installation

For Development/Demo (No Hardware Required)

# Clone the repository
git clone https://github.com/YourUsername/smart-garden-system.git
cd smart-garden-system

# Install dependencies
pip install -r requirements.txt

# Run in demo mode (no hardware required)
python run_simple_demo.py

For Production (With Hardware)

# Clone the repository
git clone https://github.com/YourUsername/smart-garden-system.git
cd smart-garden-system

# Install dependencies
pip install -r requirements.txt

# Install hardware-specific libraries
pip install RPi.GPIO adafruit-circuitpython-bme280 picamera

# Configure your system
python src/setup.py

# Edit config.yaml with your specific settings
# - Set API keys for weather services
# - Configure GPIO pins for your hardware setup
# - Set up Telegram notification settings

# Run the system
python src/main.py

Configuration

Edit the config.yaml file to set up your:

• Hardware pins
• Watering thresholds
• Weather API credentials
• Database settings
• Telegram notification settings

Demo Mode

The system includes a demo mode that simulates sensor readings and system functionality without requiring physical hardware. This is useful for development, testing, and demonstration purposes.

To run in demo mode:

python run_simple_demo.py

This will start a web server with mock data that you can access at http://localhost:12000.

Required Sensitive Information for Production Use

When deploying this system for real use (not demo mode), you'll need to provide the following sensitive information in your config.yaml file:

1. Weather API Key:

   • Sign up for an API key from OpenWeatherMap
   • Add your key to weather_api.api_key in config.yaml
   • Location is already set to Volos, Greece

2. Telegram Bot Token and Chat ID:

   • Create a Telegram bot using BotFather
   • Add your bot token to notifications.telegram.bot_token
   • Add your chat ID to notifications.telegram.chat_id

3. Database Credentials (if using PostgreSQL):

   • Set database.user and database.password

4. Hardware Configuration:

   • Verify GPIO pin assignments match your physical connections
   • Adjust sensor calibration values as needed

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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