Harvest and production data logging and reporting

Purpose

1.1. Automate the systematic collection, logging, validation, and real-time reporting of harvest and daily production data in fish farming/aquaculture operations.
1.2. Ensure all production metrics (e.g., harvest weights, feed input, water quality, mortality rates) are automatically captured, transmitted, analyzed, and made available for regulatory, operational, and management decisions.
1.3. Automate regulatory compliance documentation, improve traceability, and support data-driven decision-making through automation and workflow automation.
1.4. Enable auditable, automated historical logs and instant notifications/alerts for anomalies to minimize production risks.

Trigger Conditions

2.1. Scheduled intervals—automates data pull from IoT sensors daily/hourly.
2.2. Manual supervisor input via app or form triggers automation of validation and storage.
2.3. Automated push from field devices or farm management software triggers job.
2.4. Real-time anomaly detection in harvest or water quality data triggers automator alerts.
2.5. Integration event—new entry in inventory or production system initiates automation.
2.6. Regulatory deadline timer triggers compliance reporting automation.

Platform Variants

3.1. Google Sheets
• Feature: Sheets API—automate logging of harvest/production data to spreadsheets; set auto-validation scripts for range/consistency.
3.2. Microsoft Power Automate
• Feature: Automated flow—triggered from data input form, automates transfer and aggregation in SharePoint or Excel.
3.3. Airtable
• Feature: REST API—automatedly push production data, workflow automator updates, and status alerts via customizable schema.
3.4. Zapier
• Feature: Multi-step automation—configure triggers from web forms, action to Google Drive, email alerts, or Slack notifications.
3.5. Make (formerly Integromat)
• Feature: Scenario builder—automate multi-source data fetch, transformation, and reporting; support for HTTP modules for custom endpoints.
3.6. Twilio
• Feature: Programmable SMS—automates alerts on threshold breaches; SMS-in triggers field confirmation steps.
3.7. AWS Lambda
• Feature: Event-driven compute; auto-executes custom scripts on new data from AWS S3 or API Gateway.
3.8. Google Cloud Functions
• Feature: Event-based automation—processes raw harvest data uploads; automated transformation and persistence.
3.9. Power BI
• Feature: API Push Datasets—automates real-time data visualization and dashboard updates from automated flows.
3.10. Tableau Cloud
• Feature: Web Data Connector—pulls in automated data streams for advanced reporting.
3.11. Fishbowl Inventory
• Feature: API—automate sync between production accounting/inventory modules and data logs.
3.12. Smartsheet
• Feature: Automated workflows—alerts, approvals, and status changes based on production/harvest entries.
3.13. Salesforce
• Feature: Process Builder—automating task and record creation from aquaculture production events.
3.14. NetSuite
• Feature: SuiteScript—automate event scripts that log and summarize aquaculture production data.
3.15. Monday.com
• Feature: API/Automation recipes—production status tracking, notifications, and automating summary boards.
3.16. Notion
• Feature: API—automate structured data addition for harvest logs; instant document generation.
3.17. Oracle Integration Cloud
• Feature: Integration orchestrations—automated data ingestion, transformation, and delivery to analytics modules.
3.18. IBM Watson IoT Platform
• Feature: Automated telemetry event processing—direct farm equipment sensor logs to data lake.
3.19. Asana
• Feature: Rule automator and API—automating creation of incident or follow-up tasks on data anomalies.
3.20. Slack
• Feature: Incoming Webhooks—automated daily digests, harvest reports, or action alerts pushed to team channels.
3.21. Dropbox
• Feature: API and Automations—auto-save raw data files, trigger automated backup and archival workflows.
3.22. SQL Server/Database
• Feature: Scheduled procedures, REST API—automates ingestion and periodic backup of aquaculture logs.

Benefits

4.1. Automates repetitive data entry, reduces manual error and automates archiving.
4.2. Enables real-time, automatable reporting, supporting operational agility in aquaculture.
4.3. Strengthens automation-based regulatory compliance and traceability standards.
4.4. Automates detection and escalation of anomalies for proactive intervention.
4.5. Ensures auditability and automated data validation/consistency across the fish farming workflow.
4.6. Reduces labor costs, improves productivity by automating end-to-end harvest and production data handling.