Integration of weather data for predictive management

Purpose

1.1. Enable predictive management in fish farming by integrating real-time and historical weather data with facility operations.
1.2. Automate environmental condition monitoring to predict feeding times, health risks, and optimal harvesting windows.
1.3. Rationalize resource usage (feed, water, energy) in relation to temperature, precipitation, pressure, and wind forecasts.
1.4. Improve emergency alerting—extreme weather triggers automatic protocols to safeguard livestock and infrastructure.
1.5. Provide data-driven compliance documentation for environmental audit requirements.

Trigger Conditions

2.1. Scheduled intervals (e.g., hourly, daily, event-based).
2.2. External API push (new weather alert or anomaly detected).
2.3. Environmental sensor deviation (onsite vs. forecast discrepancy crosses set threshold).
2.4. Manual override or ad-hoc trigger from dashboard interface.
2.5. Machine learning model output signals risk or opportunity.

Platform Variants

3.1. OpenWeatherMap
• Feature/Setting: Current, forecast, and historical weather APIs—configure endpoint for "lat/lon" of farm, set schedule.
3.2. IBM The Weather Company
• Feature/Setting: Data Packages API, subscribe to "Marine/Agriculture" bundle, enter credentials in webhook.
3.3. Climacell (Tomorrow.io)
• Feature/Setting: Insight endpoints—activate precipitation, wind alert triggers, JSON webhook.
3.4. Meteomatics
• Feature/Setting: RESTful Weather API, set "query interval" and location polygon to cover all ponds.
3.5. AccuWeather
• Feature/Setting: Location Key lookup, subscribe to minute-by-minute forecast, trigger automation on severe alerts.
3.6. Weatherbit.io
• Feature/Setting: Historical & forecast endpoints—enable batch data pull for ponds, feed to local DB.
3.7. AQICN (Air Quality)
• Feature/Setting: City Feed API, hook to PM2.5 & temperature for aeration decisions.
3.8. Breezometer
• Feature/Setting: Weather & Air Quality endpoints—trigger health risk alerts via webhook.
3.9. NOAA NWS
• Feature/Setting: Web forecast grid data—subscribe to XML/JSON feed for region, parse for warnings.
3.10. Storm Glass
• Feature/Setting: Marine weather API, schedule data sync, auto-alert on wave height or wind anomalies.
3.11. Google Cloud Functions
• Feature/Setting: Custom function parses weather webhook, routes triggers to farm management system.
3.12. Azure Logic Apps
• Feature/Setting: Weather API connector—set up logic for alerts above temperature, rainfall, or wind thresholds.
3.13. AWS Lambda
• Feature/Setting: Event-driven script processes weather payload, updates predictive model inputs.
3.14. Power BI
• Feature/Setting: Streaming dataset—feed external weather and historical data for visualization dashboard.
3.15. Grafana
• Feature/Setting: Data source API—integrate weather metrics and send automated notification to channel.
3.16. Zapier
• Feature/Setting: Weather integration app—use trigger "New Weather Condition" for downstream actions.
3.17. Integromat (Make)
• Feature/Setting: Weather module setup, connect to "send alert" scenario on API weather anomaly.
3.18. ThingSpeak
• Feature/Setting: HTTP GET request for weather feed—visualize on dashboard with threshold-based email alert.
3.19. RapidAPI
• Feature/Setting: Unified marketplace, choose weather API, configure auto polling, forward JSON to endpoint.
3.20. Pipedream
• Feature/Setting: HTTP trigger for weather event, filter with code step, fire webhook or update business tool.
3.21. Apify
• Feature/Setting: Weather scraper actor runs on schedule, results saved as dataset and triggers webhooks.
3.22. Notion API
• Feature/Setting: Append weather data/action log to fish health journal in Notion database.
3.23. Microsoft Power Automate
• Feature/Setting: Weather alert prebuilt connector; define rule to check "Favorable Condition" for feeding.
3.24. IFTTT
• Feature/Setting: Weather Underground service applet—"If rain tomorrow, then create alert in farm dashboard".

Benefits

4.1. Dynamic response to forecast changes—minimizes losses and maximizes fish health.
4.2. Removes manual intervention—reduces labor costs and human error.
4.3. Enables continuous improvement—historical weather effects analyzed against farm output.
4.4. Provides automatic, defensible records for traceability, compliance, and certification.
4.5. Seamlessly supports scale—works for both small sites and enterprise-level operations.