Grazing and Paddock ManagementPurpose
1.2. Aggregate NDVI, biomass, and ground coverage data to enable remote pasture condition assessment, forecasting, and compliance with grazing agreements.
1.3. Minimize manual surveying, enable proactive interventions, and streamline reporting obligations for landowners and lessees.
Trigger Conditions
2.2. Receipt of new imagery datasets in storage bucket (e.g., AWS S3 event).
2.3. Change in environmental thresholds (e.g., rainfall below a limit triggers assessment).
2.4. Request from grazing lease management app for pasture update.
2.5. External compliance reporting period initiation.
Platform Variants
• Feature/Setting: Assets API for fetching NDVI/imagery layers automatically—set up via Earth Engine Python API with defined bounding box for property.
3.2. Planet Labs
• Feature/Setting: Planet Data API, activate and enable automated subscription for pasture monitoring scenes; configure webhook for data arrival.
3.3. DJI Terra
• Feature/Setting: Flight mission auto-sync; configure automated upload to cloud storage; enable processing API for orthomosaics and index outputs.
3.4. AWS S3
• Feature/Setting: Event notifications to trigger further automations on new imagery upload; integrate with Lambda for downstream processing.
3.5. Azure Blob Storage
• Feature/Setting: BlobCreated events to invoke logic app; set rules for pasture-specific folders.
3.6. Google Cloud Functions
• Feature/Setting: Triggered by Cloud Storage file upload; configure to parse, analyze, and route pasture data.
3.7. ArcGIS Online
• Feature/Setting: REST Feature Service updates for grazing zones; auto-import GeoTIFF/band rasters via scheduled scripts.
3.8. QGIS Server
• Feature/Setting: WMS/WFS publish automation for new pasture analysis layers; configure server hooks for dataset intake.
3.9. DroneDeploy
• Feature/Setting: Auto-upload workflow to cloud maps and reporting; enable webhook for job completion.
3.10. Sentinel Hub
• Feature/Setting: OGC API for on-demand requests; configure subscriptions to region-of-interest and NDVI layers.
3.11. Esri Field Maps
• Feature/Setting: Sync feature layers from remote sensing via Enterprise REST API; configure mobile app push updates.
3.12. Mapbox
• Feature/Setting: Styles API and Tilesets API for publishing updated pasture maps—configure automatic upload after analysis run.
3.13. Microsoft Power Automate
• Feature/Setting: Scheduled cloud flow with connector to cloud storage and webhook to trigger custom data pipelines.
3.14. Slack
• Feature/Setting: Incoming Webhooks for notification upon new pasture assessment result; integrate with image links and PDF report.
3.15. Tableau Online
• Feature/Setting: REST API to push updated pasture assessment dashboards; automate data source refreshing upon file arrival.
3.16. Grafana
• Feature/Setting: JSON API plugin to visualize new time-series NDVI/biomass data; configure alert channel for exceptions.
3.17. SAP BTP
• Feature/Setting: Cloud Integration to fetch imagery, run analysis, and update SAP farm records; preconfigured API endpoints.
3.18. Dropbox
• Feature/Setting: File request/automation to pass imagery to downstream applications; notification API for new uploads.
3.19. Zapier
• Feature/Setting: Connectors to storage, mapping, email, and SMS for notifications and publishing reports; scenario: “New file in folder → start analysis”.
3.20. AWS Lambda
• Feature/Setting: Serverless function to process incoming images, extract regions-of-interest, and update management system API.
Benefits
4.2. Reduces operational costs and improves compliance via verifiable automated records.
4.3. Provides high spatial accuracy and up-to-date condition maps for lease negotiations and audit readiness.
4.4. Lowers need for field staff interventions, reallocating resources to value-added operations.
4.5. Enables transparent, sharable pasture metrics across stakeholders and lessees on-demand.