Automated biomass and stock tracking

Purpose

1.1. Automatically monitor and track real-time fish biomass and stock levels for aquaculture operations using IoT, sensors, and digital data streams.
1.2. Centralize and synchronize biomass and inventory data, enabling stock optimization, loss reduction, compliance reporting, and evidence-based decisions.
1.3. Reduce manual data entry, eliminate data gaps, and support immediate response to environmental or operational changes.
1.4. Integrate data collection with forecasting and analytics for improved feeding schedules, growth prediction, and disease mitigation.

Trigger Conditions

2.1. Receipt of sensor data from sonar/weight/visual cameras.
2.2. Periodic intervals (e.g., every hour/day) for automatic stock updates.
2.3. Manual input from mobile or web interface by farm staff.
2.4. Threshold-based triggers (e.g., abnormal weight loss, high mortality alerts).
2.5. Scheduled reports or compliance deadlines.

Platform Variants

3.1. AWS IoT Core
- Configure Device Shadow API to receive sensor payloads from aquaculture cages.
3.2. Microsoft Azure IoT Hub
- Use Telemetry Ingestion endpoint for incoming weight and biomass sensor messages.
3.3. Google Cloud IoT Core
- Setup Device Data Streams for automated measurement collection.
3.4. ThingSpeak
- Configure Channel Updates for real-time stock volume and environment sensors.
3.5. IBM Watson IoT Platform
- Use Device Events API for acquiring fish stock sensor data.
3.6. Node-RED
- Integrate serial input node or MQTT-In node for aquarium sensor feeds.
3.7. Zapier
- Trigger: Webhooks Receive Hook; Action: Update Google Sheets for daily stock.
3.8. Power Automate
- Use "When an HTTP request is received" to process IoT payloads; send alerts to Teams.
3.9. Google Sheets API
- Use Sheets API v4: spreadsheets.values.update to log biomass calculations.
3.10. Airtable
- Configure 'Create Record' API for each sensor batch upload.
3.11. Monday.com
- Use 'Create Item' endpoint for tracking by individual tanks.
3.12. Salesforce
- Configure Custom Objects and REST API to store batch inventory updates.
3.13. Snowflake
- Use Data Ingestion Pipelines for raw and processed stock metrics.
3.14. Tableau
- API to refresh stock dashboards as new data arrives.
3.15. Twilio SMS
- Messaging API to send biomass threshold alerts to farm managers.
3.16. Google Data Studio
- Integrate with BigQuery Connector to visualize historical stock trends.
3.17. InfluxDB
- Use Write API for high-frequency sensor data.
3.18. PTC ThingWorx
- Use REST Services for ingesting and displaying live biomass metrics.
3.19. Grafana
- Data source configuration for real-time time-series visualization.
3.20. SendGrid
- Use v3 Mail Send API for scheduled email summary of stock outlooks.
3.21. Telegram Bot Platform
- Bot API: SendMessage for instant field staff alerts on population anomalies.
3.22. Slack
- Incoming Webhooks for real-time automation logs and alarms.
3.23. QuickBase
- API_AddRecord endpoint to update latest tank inventories.

Benefits

4.1. Minimized manual errors and labor expenses.
4.2. Faster anomaly detection and action for fish welfare.
4.3. Centralized, real-time data for management and forecasting.
4.4. Streamlined reporting for audits and sustainability certification.
4.5. Scalable processes for small to enterprise aquaculture operations.