Can you integrate with our existing water quality sensors?

Yes. We integrate with common aquaculture sensors from YSI, In-Situ, and Aqua TROLL via Modbus, SDI-12, or API connections. Data is normalized and pushed to your monitoring dashboard.

Do you support multiple species and farm types?

Our farm management platforms support finfish, shellfish, and shrimp operations across cage, pond, RAS, and flow-through system types with species-specific growth models.

Can the system predict water quality issues?

We build predictive models using historical sensor data and weather forecasts to anticipate low-oxygen events, temperature spikes, and algal blooms before they impact stock.

How do you handle remote farm connectivity?

We design systems with offline-capable edge devices that buffer sensor data locally and transmit via cellular, satellite, or LoRaWAN when connectivity is available.

Smart Aquaculture Software for Modern Fish Farming

From water quality monitoring to harvest planning, Bookuvai builds custom aquaculture software that maximizes yield while ensuring environmental compliance.

Industry: Aquaculture

Pain Points

Water Quality Monitoring Gaps: Dissolved oxygen, pH, temperature, and ammonia levels require continuous monitoring. Manual sampling is too infrequent to catch dangerous fluctuations before fish mortality events.
Feed Management Inefficiency: Feed represents 50-70% of operating costs. Without precise feeding algorithms tied to biomass estimates, farms either overfeed (wasting money) or underfeed (stunting growth).
Regulatory and Traceability Requirements: Aquaculture operations face increasing requirements for environmental monitoring, antibiotic usage reporting, and farm-to-fork traceability documentation.

Solutions

Farm Management Platforms: Comprehensive farm management systems covering stock tracking, growth monitoring, feed management, mortality recording, and harvest planning across multiple sites.
- Multi-site and multi-species support
- Biomass estimation and growth curves
- Feed conversion ratio tracking
- Harvest planning and scheduling
Water Quality Monitoring Systems: IoT-connected dashboards that ingest real-time sensor data for dissolved oxygen, temperature, pH, and ammonia with threshold alerting and trend analysis.
- Real-time sensor data ingestion
- Threshold-based SMS and push alerts
- Historical trend visualization
- Predictive water quality modeling
Traceability and Compliance Tools: Batch tracking systems that record the full lifecycle from egg to harvest, including feed inputs, treatments, water quality data, and chain-of-custody documentation.
- Batch lifecycle tracking
- Treatment and medication logging
- Export documentation generation
- Regulatory compliance reporting

Use Cases

Fish Farm Management Dashboard — A web dashboard for managing multiple fish farm sites with stock inventory, growth tracking, feed management, mortality recording, and harvest scheduling. (160-240, $320-$480, 8-12 weeks)
Water Quality Alert System — An IoT-connected monitoring system that ingests dissolved oxygen and temperature sensor data and sends SMS alerts when levels approach dangerous thresholds. (80-120, $160-$240, 5-7 weeks)
Seafood Traceability Platform — A farm-to-fork traceability system with QR code batch tracking, treatment records, water quality history, and export certification document generation. (140-200, $280-$400, 7-10 weeks)

Compliance Notes

FDA seafood HACCP regulations
EPA NPDES aquaculture discharge permits
ASC (Aquaculture Stewardship Council) certification

Frequently Asked Questions

Can you integrate with our existing water quality sensors?: Yes. We integrate with common aquaculture sensors from YSI, In-Situ, and Aqua TROLL via Modbus, SDI-12, or API connections. Data is normalized and pushed to your monitoring dashboard.
Do you support multiple species and farm types?: Our farm management platforms support finfish, shellfish, and shrimp operations across cage, pond, RAS, and flow-through system types with species-specific growth models.
Can the system predict water quality issues?: We build predictive models using historical sensor data and weather forecasts to anticipate low-oxygen events, temperature spikes, and algal blooms before they impact stock.
How do you handle remote farm connectivity?: We design systems with offline-capable edge devices that buffer sensor data locally and transmit via cellular, satellite, or LoRaWAN when connectivity is available.