Automation is an intelligent water quality control system that automatically monitors and adjusts key environmental parameters using machine learning.
To provide a stable and optimized aquatic environment—especially in aquaculture and water treatment settings—by automating the regulation of multiple water quality indicators.
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Real-Time Sensor Monitoring
- Turbidity
- Temperature
- pH (Acidity)
- Water Level
- TDS (Total Dissolved Solids)
- Ammonia (NH₃/NH₄⁺)
- Nitrate (NO₃⁻)
- Nitrite (NO₂⁻)
- TAN (Total Ammonia Nitrogen)
- Dissolved Oxygen (DO, varies by fish species)
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Machine Learning-Based Control
- Anomaly detection and prediction based on sensor data
- Automated control of pumps, aeration systems, chemical dosing, etc.
- Adaptive to different aquatic species and environmental requirements
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User Dashboard (Planned)
- Real-time monitoring interface
- Alerts and system logs
- Smart aquaculture systems
- Water treatment plants
- Environmental research labs
- Fully automated fish farms
MIT License