The AI-Powered Plant Monitoring System automates and optimizes plant care by integrating IoT sensors, AI-based health analysis, and a user-friendly web/Telegram interface. Designed for smart gardening enthusiasts, researchers, or anyone who wants healthier plants with minimal effort.
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Real-Time Monitoring:
- Tracks soil moisture, light levels, temperature, and humidity.
- Automatically updates sensor data every minute.
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AI-Based Plant Health Analysis:
- Detects diseases, water needs, and light deficiencies.
- Provides actionable recommendations.
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Automation:
- Scheduled watering and lighting controls.
- Intelligent actions based on sensor data.
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Interactive Interfaces:
- Web Dashboard: Visualize data and manage the system.
- Telegram Bot: Get notifications and control the system remotely.
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Notification System:
- Alerts for low moisture or unhealthy plants.
- Daily summaries via Telegram or email.
- IoT Sensors: Measure environmental parameters.
- AI Analysis: Uses TensorFlow to analyze plant health.
- Database: SQLite stores historical data and logs.
- Web Interface: Flask-powered dashboard.
- Telegram Bot: Sends notifications and takes commands.
- Python 3.8+
- Virtual environment (recommended)
- Libraries: TensorFlow, Flask, schedule, SQLite3, Matplotlib, Telegram Bot API.
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Clone the repository:
git clone https://github.com/your-repo/plant-monitoring.git cd plant-monitoring -
Install dependencies:
pip install -r requirements.txt
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Initialize the database:
python database.py
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Start the web interface:
python web_interface.py
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Run the Telegram Bot:
python telegram_bot.py
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Train the AI Model (optional):
python ml_training.py
- Access the dashboard at
http://localhost:5000. - View real-time sensor data, history, and AI analysis results.
/status: View sensor data./analyze: Perform AI analysis./set_schedule: Schedule watering or lighting./reset: Reset the system.
© 2023 Oleksii Hrachov. This project is licensed, Proprietary License. See the LICENSE file for details. """