Smart Shrimp Water Research Monitoring: Achieving Accurate Data, Better Shrimp Health, and Consistent Research Results
ICAR-CIBA
UN SDG 12 - Responsible Consumption and Production
Chennai - TN
Pain Points
Manual testing delayed shrimp research accuracy and water quality stability.
Manual Water Sampling
Researchers relied on periodic manual sampling, causing data gaps and delays.
Unstable Oxygen and pH Levels
Fluctuating DO and pH affected shrimp health and reduced experimental accuracy.
Ammonia Build-Up Unnoticed
No real-time ammonia monitoring led to missed toxicity detection in ponds.
Our Offerings
IoT-based smart monitoring system for real-time water quality research and analysis.
Dissolved Oxygen Monitoring
Continuously tracks DO levels to maintain ideal oxygen balance for shrimp
pH Level Tracking
Monitors water pH stability, ensuring optimal pond conditions for research.
Ammonia Detection
Detects ammonia variation in real time to prevent harmful water conditions.
Cloud Dashboard & Alerts
Provides live data, analytics, and alerts for quick research-based decisions.
Outcomes
Accurate Research Data
Continuous data logging improved experiment accuracy and repeatability.
Reduced Manual Testing
Automated readings minimized human effort and eliminated sampling delays.
Improved Shrimp Health
Stable DO, pH, and ammonia levels ensured better shrimp survival rates.
Real-Time Decision Support
Live analytics helped researchers react faster to changing water conditions.
IoT monitoring helped us maintain consistent water parameters for accurate shrimp research.
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