PiGarden is a simple web-based application that allows you to monitor environmental data from various sensors, including temperature, humidity, and soil moisture, using a Raspberry Pi. The application stores the sensor readings in an SQLite database and provides real-time data visualization through interactive charts.
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Real-time sensor data monitoring: Collects temperature, humidity, soil moisture, CPU temperature, and ambient light data.
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Modular services:
- Light control: Manages garden lighting based on predefined schedules.
- Irrigation system: Controls the water pump using GPIO relays.
- Sensor service: Collects sensor data and updates the database.
- Web service: Provides a dashboard for real-time monitoring and historical data visualization.
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Flexible operation: Run each service individually or simultaneously - using a control script.
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SQLite database: Stores the collected data with timestamps.
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Dark mode: User-friendly toggle to switch between light and dark themes.
- Raspberry Pi: The main platform that reads sensor data via I2C.
- SHT31-D Sensor: Measures temperature and humidity.
- SEN0193 Soil Moisture Sensor: An analog sensor that measures the moisture level of the soil.
- ADS7830 ADC Converter: Converts the analog signal from the SEN0193 sensor into a digital value readable via I2C (address 0x48).
- VEML7700 Sensor: Measures lux (light intensity) for plant growth monitoring.
- 230V Lamp: Used to simulate garden lighting. The lamp is controlled by a GPIO relay module.
- Water Pump: Used for irrigation, controlled by GPIO relays. It can be a 12V DC water pump and should have a flow rate of at least 240 liters per hou
- Flask: A lightweight Python web framework used to display the data in a web browser.
- Chart.js: A JavaScript library used to create interactive line charts for visualizing the data.
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Set up your Raspberry Pi Ensure your Raspberry Pi is running Raspberry Pi OS and has I2C enabled. You can enable I2C through the Raspberry Pi configuration tool: sudo raspi-config Under "Interfacing Options", select "I2C" and enable it.
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Install Dependencies Clone the repository to your Raspberry Pi:
git clone https://github.com/pawcijo/PiGarden.git
cd PiGarden
Install the required Python packages:
pip install -r requirements.txt
- Set up the Database Run the script to initialize the SQLite database and create the table that will store sensor data.
python init_db.py
This will create a sensor_data.db file with the necessary structure.
- Connect Sensors Connect the SHT31-D sensor and SEN0193 soil moisture sensor to your Raspberry Pi.
I2C address: 0x44
Ensure the wiring is correct:
SDA to GPIO 2 (pin 3)
SCL to GPIO 3 (pin 5)
VCC to 3.3V
GND to GND
SEN0193 Soil Moisture Sensor with ADS7830:
The SEN0193 sensor outputs an analog voltage proportional to the soil moisture level.
Use the ADS7830 ADC to convert the analog signal into a digital value for the Raspberry Pi.
ADS7830 wiring:
- VCC to 3.3V or 5V.
- GND to GND.
- SDA to GPIO 2 (pin 3).
- SCL to GPIO 3 (pin 5).
SEN0193 wiring:
- VCC to 3.3V.
- GND to GND.
- Signal (analog output) to one of the ADC input channels on the ADS7830 (e.g., CH0)
Ensure the wiring is correct:
- SDA to GPIO 2 (pins 3 or line)
- SCL to GPIO 3 (pins 5 or line)
- VCC to 3.3V
- GND to GND
- Start the System You can start all the services together using the provided start_server.sh script:
./start_server.sh
To stop all services, use:
./stop_server.sh
Alternatively, you can run each service individually:
Sensor Service:
python3 SensorServer/data_update.py
Light Control:
sudo python3 SensorServer/light_control.py
Irrigation System:
sudo python3 SensorServer/irrigation_system.py
Web Service:
sudo python3 SensorServer/web_server.py
- Access the Web Dashboard
Once the web service is running, open a web browser and navigate to your Raspberry Pi’s IP address on port 5000:
http://<your-pi-ip>:5000
You will see real-time temperature, humidity, soil moisture, and lux readings, as well as graphs showing historical data.
Real-Time Data Monitoring: The app collects data from sensors and monitors:
Temperature
Humidity
Soil moisture
Ambient light (lux)
Irrigation system status
CPU temperature
The lights are automatically controlled based on predefined time settings. The light control is handled by a separate process that ensures the lights are turned off when the control script ends. If the control process is killed (e.g., via pkill), the lights will be turned off automatically.
The web interface presents the following charts:
- Temperature Chart: Displays readings from the SHT31-D sensor and CPU temperature.
- Humidity Chart: Displays humidity levels.
- Soil Moisture Chart: Displays soil moisture levels.
- Light Level Chart: Displays ambient light (lux).
The charts are updated in every hour as new data is collected.
The app includes a dark mode toggle, which can be activated by clicking the button in the top-right corner.
The SQLite database sensor_data.db contains a table called sensor_readings with the following columns:
- id: Auto-incremented primary key.
- timestamp: Date and time of the sensor reading.
- temperature: Temperature value from the SHT31-D sensor.
- humidity: Humidity value from the SHT31-D sensor.
- soil_moisture: Soil moisture level in percentage.
- cpu_temperature: CPU temperature of the Raspberry Pi.
- lux: Ambient light intensity measured by the VEML7700 sensor, stored as a real number.
- I2C Communication Error: Make sure I2C is enabled on your Raspberry Pi and that your sensors are correctly connected.
- Web Interface Not Loading: Ensure Flask is running and accessible from your browser. Check for any errors in the terminal where Flask is running.
This project is open source and available under the MIT License. See the LICENSE file for more details.
Feel free to fork the repository and submit pull requests. Contributions are always welcome!