Automated feeding logs from smart feeders

Purpose

1.1. Capture smart feeder logs (feed quantity, timing, feeder status) from aquaculture farms in real time.
1.2. Automate upload, storage, analysis, and alerting for deviations in feed schedules or amounts.
1.3. Provide historical data for compliance, optimization, and auditing.
1.4. Integrate log data with inventory, environmental sensors, and performance reporting tools.

Trigger Conditions

2.1. New feeding event detected by smart feeder on local network or via IoT cloud.
2.2. Scheduled polling/check-in intervals set for feeder data sync.
2.3. Manual override/log entry submitted by operations staff via mobile app.
2.4. Remote system alert (device anomaly, missed feeding, or under/overfeeding event detected).

Platform Variants

3.1. AWS IoT Core
• Feature/Setting: MQTT Topic subscription – receive feeder event JSON on “/feeder/logs”.
3.2. Microsoft Azure IoT Hub
• Feature/Setting: Device-to-cloud telemetry – configure Event Grid trigger on message arrival.
3.3. Google Cloud IoT Core
• Feature/Setting: Pub/Sub subscription – ingest device telemetry streamed as protobuf/JSON.
3.4. IBM Watson IoT Platform
• Feature/Setting: Real-time Action rule – trigger HTTP action on telemetry rule match.
3.5. ThingSpeak
• Feature/Setting: Channel Write API – post feeder log entry via REST on feeding event.
3.6. Kaa IoT Platform
• Feature/Setting: Data Collection endpoint – receive binary/protocol logs for processing.
3.7. Particle Cloud
• Feature/Setting: Webhook integration – stream sensor data to endpoint on each feeding.
3.8. Blynk Cloud
• Feature/Setting: Eventor rule – trigger HTTP push on digital input change.
3.9. Losant
• Feature/Setting: Workflow MQTT Node – subscribe to feeder state changes.
3.10. Ubidots
• Feature/Setting: Event trigger – forward new log data to automation endpoint.
3.11. Adafruit IO
• Feature/Setting: Feed webhook – POST feeder data to external service on update.
3.12. Home Assistant
• Feature/Setting: Automation Blueprint – read input_number sensor and log event.
3.13. Node-RED
• Feature/Setting: MQTT input node – convert and forward payload to database/API.
3.14. InfluxDB
• Feature/Setting: HTTP API – accept JSON/line-protocol records on log creation.
3.15. Grafana
• Feature/Setting: Alert rule – monitor log data and notify on threshold breach.
3.16. Zapier
• Feature/Setting: Webhooks trigger – parse incoming logs, feed into Google Sheets.
3.17. Make (Integromat)
• Feature/Setting: HTTP module + filter – forward/match log details for workflow.
3.18. Salesforce
• Feature/Setting: Platform Events API – inject feeder activity into process builder flow.
3.19. Google Sheets
• Feature/Setting: Apps Script – parse incoming data and append to log sheet.
3.20. Airtable
• Feature/Setting: API endpoint – receive and store log data via POST automation.
3.21. Power Automate
• Feature/Setting: HTTP Request flow – trigger on new log, route to storage/analyze.
3.22. Oracle IoT Cloud
• Feature/Setting: Streaming data interface – filter and store feeder logs for app use.

Benefits

4.1. Eliminate manual data entry; ensure 100% log accuracy.
4.2. Real-time visibility into feed operations for management and staff.
4.3. Immediate alerts enable rapid correction of feeder failures or inconsistencies.
4.4. Supports historical performance analytics and regulatory compliance.
4.5. Consistent, central data source powering business intelligence and farm reporting.