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AquacultureBETAHAS DEMO

Aquaculture Pond Monitoring

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

Aquaculture Pond Monitoring

Overview

Aquaculture Pond Monitoring is built for Vietnam's fish farms (Pangasius, Tilapia, Red Tilapia). It fuses pond cameras with IoT probes measuring dissolved oxygen, pH, temperature and salinity, tracking feeding response and fish activity while watching water chemistry around the clock.

When a parameter drifts toward a danger zone - most critically dissolved oxygen - the system triggers aerators and pushes early-warning alerts to Zalo and the Vectiq Field dashboard, protecting each fish crop from costly overnight pond crashes.

Interactive demo

Aquaculture

Pond monitoring

Real pond camera footage with a school-activity indicator, while IoT probes track water quality.

Pond
POND 01 · Koi pond (top-down)
School activity (est.): 0/6
Dissolved O₂
5.60mg/L
Temperature
29.4°C
pH
7.80
Salinity
15.0‰
All parameters healthy
Recommendation

Water quality is optimal. Keep the current feeding schedule.

The boxes on the video are an illustrative school-activity indicator: common vision models (YOLO/COCO) have no “fish” class, so positions and counts are estimates.

Sensor readings are simulated in your browser. Real deployments pair pond cameras with DO/pH/temperature/salinity probes and push alerts to Zalo.

Key features

Real-time dissolved oxygen safeguarding
pH, temperature and salinity tracking
Feeding optimization from camera activity
Early-warning alerts to Zalo/SMS
Vectiq Field dashboard integration

Tech stack

YOLOv8 · aiOpenCV · aiMQTT · otherLoRaWAN · otherTimescaleDB · databaseFastAPI · backendZalo OA API · other

Solutions