Automatic data collection from weighing systems

Purpose

1. Automate precise data collection from electronic poultry weighing systems and sensors for flock health, growth, and feed efficiency analysis.

2. Automating aggregation, organization, and reporting of live-bird weights, daily averages, outlier detection, and trend visualizations.

3. Automates compliance and traceability for production audits, animal welfare, and commercial reporting.

4. Integrates sensor data into management dashboards, automating alerts for abnormal variances or feed conversion dips.

Trigger Conditions

1. Scheduled polling (e.g., every 15 minutes or hourly) for weight data via device APIs or serial/USB port monitors.

2. Real-time automation of data ingestion on new reading from sensor (event-based triggers via webhook or PLC signals).

3. Automatedly triggered on thresholds (min/max weight exceeded or rapid change detected).

4. Manual override or batch upload via mobile or desktop app, automating verification of bulk data entries.

Platform variants

1. Microsoft Power Automate

• Feature/Setting: "HTTP Request" action, automates pulling JSON or XML from sensor endpoints on schedule.
  

2. Zapier

• Feature/Setting: Webhooks + "Formatter" action, automates data transformation and routing to cloud sheets.
  

3. Google Apps Script

• Feature/Setting: Time-driven triggers, automates parsing CSV weight dumps into Google Sheets.
  

4. AWS Lambda

• Feature/Setting: "Event Source Mapping" with IoT event, automates serverless data processing and DB inserts.
  

5. Azure Logic Apps

• Feature/Setting: "Recurrence" + "HTTP" triggers, automates scheduled pulling and archiving of weight records.
  

6. IFTTT

• Feature/Setting: Custom webhook triggers, automates sending new weight data to Google Drive or notification services.
  

7. Node-RED

• Feature/Setting: "serial in" and "mqtt in" nodes, automates capturing and parsing serial/IoT device data streams.
  

8. Google Cloud Functions

• Feature/Setting: HTTP-triggered function, automates ingestion and validation of incoming payloads from weighing systems.
  

9. Integromat (Make)

• Feature/Setting: "HTTP" and "JSON Parse" modules, automates multi-step transfer from sensor to records.
  

10. IBM App Connect

• Feature/Setting: Swagger (OpenAPI) connector, automates integration to REST-enabled weighing systems.
  

11. Salesforce Flow

• Feature/Setting: Platform Event triggers, automates initiating livestock records update when new data arrives.
  

12. Pipedream

• Feature/Setting: "HTTP" and custom code steps, automates pulling, cleaning, and posting to databases.
  

13. Tray.io

• Feature/Setting: API connector step, automates linking hardware data flows to cloud ERPs.
  

14. UiPath

• Feature/Setting: "Read from API" or "Serial Communication," automates robotic process for logging weights.
  

15. Workato

• Feature/Setting: Schedule + webhook triggers, automates syncing data to CRMs, ERPs, or BI dashboards.
  

16. Smartsheet (via API)

• Feature/Setting: Automated "Sheet Row Creation" on data-in, populates digital records from sensor streams.
  

17. Airtable Automations

• Feature/Setting: "Webhook" trigger, automates table updates with device readings.
  

18. Google BigQuery

• Feature/Setting: Streaming data API, automates direct ingestion for analytics at scale.
  

19. Grafana

• Feature/Setting: Data Source HTTP API, automates visual alerting on incoming weight data deviations.
  

20. Cumulocity IoT

• Feature/Setting: "Measurement REST API" automates poultry weight readings collection and event monitoring.
  

Benefits

1. Automates elimination of manual entry errors, ensuring high-integrity livestock data.

2. Automatedly provides real-time insights into poultry weight and health, supporting faster decisions.

3. Automates compliance record creation, reducing burden for audits.

4. Automating alerts and analytics, optimizes feed and resource allocation.

5. Automates integration to business-critical systems (ERP, CRM), ensuring seamless reporting and management.