Resource consumption monitoring (water, feed, supplements)

Purpose

 1.1. Automate monitoring of water, feed, and supplement consumption for livestock breeders to optimize usage and reduce waste.
 1.2. Enable automated alerts and interventions when consumption deviates from predefined benchmarks.
 1.3. Centralize multi-source sensor data for automated analysis, reporting, and actionable insights.
 1.4. Integrate automated dashboards, notifications, and historical tracking to streamline resource management and compliance.

Trigger Conditions

 2.1. Automatedly triggered by sensor data updates on water, feed, or supplement consumption.
 2.2. Scheduled events for daily, weekly, or monthly resource reporting.
 2.3. Threshold breaches—automator detects if resource use exceeds or drops below set limits.
 2.4. API or webhook notifications from IoT platforms delivering real-time consumption data.

Platform Variants

 3.1. AWS IoT Core
  • Feature/Setting: Device Data Stream; configure Rule Actions to trigger Lambda on sensor updates.
 3.2. Google Cloud IoT
  • Feature/Setting: Cloud Pub/Sub; automate message consumption on resource event publishing.
 3.3. Microsoft Azure IoT Hub
  • Feature/Setting: Event Grid Subscription; route automated events to Functions for alerting.
 3.4. ThingsBoard
  • Feature/Setting: Rule Engine; set threshold triggers and forward to external endpoints.
 3.5. Ubidots
  • Feature/Setting: Event Automation; automate email/SMS/webhook on limit breaches.
 3.6. Losant
  • Feature/Setting: Workflow Engine; automate resource logic on device/new data node.
 3.7. Particle
  • Feature/Setting: Webhooks; automatedly report sensor data to management system API.
 3.8. Blynk
  • Feature/Setting: Automation API; configure Push/Email on water/feed drop.
 3.9. Sigfox
  • Feature/Setting: Callback API; automate integration of message events into records system.
 3.10. Datacake
  • Feature/Setting: Automation Rules; define triggers to synchronize resource logs.
 3.11. Honeywell Forge
  • Feature/Setting: Data Integrator; automate dashboard update on new resource input.
 3.12. Splunk
  • Feature/Setting: HTTP Event Collector (HEC); automate ingestion/monitoring from IoT devices.
 3.13. Power BI
  • Feature/Setting: Scheduled Refresh API; automate updates to resource consumption dashboards.
 3.14. Grafana
  • Feature/Setting: Alerting Rule; configure automated notification on abnormal patterns.
 3.15. SAP Leonardo IoT
  • Feature/Setting: Business Rule API; automate workflow execution when resource bounds are exceeded.
 3.16. Slack
  • Feature/Setting: Incoming Webhooks; automates alerts into channel on anomaly detection.
 3.17. Twilio SMS
  • Feature/Setting: Programmable Messaging API; automate SMS notifications on out-of-bounds.
 3.18. SendGrid
  • Feature/Setting: Mail Send API; automate email reports of resource data.
 3.19. Pipedream
  • Feature/Setting: HTTP Trigger; automate workflow from sensor event webhook.
 3.20. Jira
  • Feature/Setting: REST API; automatedly create ticket on critical consumption incident.

Benefits

 4.1. Automated reduction of manual resource tracking and reporting.
 4.2. Early warning via automation minimizing loss due to shortages or excesses.
 4.3. Automated compliance evidence for audits and inspections.
 4.4. Improved efficiency and resource planning via automated analytics.
 4.5. Automated data flow ensures up-to-date actionable insights for livestock breeders, enhancing decision-making.