Healthier ponds through cameras and sensor AI
Purpose-built for Vietnam's fish farms (Pangasius, Tilapia, Red Tilapia), we fuse pond cameras with IoT water-quality probes: track feeding and fish activity, monitor dissolved oxygen, pH, temperature and salinity, and push early-warning alerts to Zalo before a pond crashes - fully aligned with the TekFarm platform.

Vision models estimate feeding response and animal activity to optimize feed and cut waste.
Continuous DO tracking with automatic aerator triggers when oxygen drops to risky levels.
Track pH, salinity and ammonia trends to keep the pond within safe ranges for the species.
Combine water temperature with weather forecasts to anticipate stress events and disease risk.
Threshold and anomaly alerts pushed to Zalo, SMS and the farm dashboard the moment a pond drifts.
One screen for every pond: live cameras, sensor trends, feed logs and harvest forecasting.
For high-density fish ponds where oxygen crashes cost millions, continuous camera activity tracking and aerator automation protect each fish crop.
Real pond camera footage with an illustrative activity overlay, while IoT sensors track water quality in real time

Water quality is optimal. Maintain current feeding schedule.
Camera overlay shows an illustrative school-activity indicator, not precise per-fish detection — standard vision models (YOLO/COCO) have no "fish" class, so boxes and counts are approximate.
Simulated demo in your browser. Production deployments fuse pond cameras with DO/pH/temperature/salinity probes and push alerts to Zalo and the farm dashboard.

Camera and IoT-sensor monitoring for fish ponds: water quality, feeding activity, and early-warning alerts

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