Field Operations & IoT IntegrationPurpose
1.2. Accelerate agronomic diagnostics, yield analytics, and compliance documentation for engineers and field managers.
1.3. Standardize post-flight data uploads, automated preprocessing, report generation, and archival with real-time notifications.
1.4. Support integration of multifaceted IoT data streams to deliver unified, actionable insights for farm operations and asset optimization.
Trigger Conditions
2.2. Upload or receipt of new sensor data to a designated storage (cloud/local).
2.3. Detection of completed image stitching or mapping tasks.
2.4. Scheduled intervals for continuous operations reporting.
2.5. Manual or API-based flag for urgent analysis (e.g., disease outbreak, irrigation failure).
Platform Variants
• Feature/Setting: Webhook event for "mission complete" triggers data transfer; configure callback URL for instant data send.
3.2. DroneDeploy API
• Feature/Setting: 'Upload Completed' endpoint for automatic job-triggered exports; supply destination credentials via OAuth.
3.3. Pix4Dcloud API
• Feature/Setting: Data processing webhook and export automation; map API key, project ID, and output format.
3.4. Micasense API
• Feature/Setting: Automated transfer of multispectral imagery after capture using RESTful API with post-processing status callback.
3.5. Amazon S3
• Feature/Setting: Event notification on new object creation to start pipeline; configure IAM for 'PutObject' and SNS trigger.
3.6. Azure Blob Storage
• Feature/Setting: Event Grid subscription for blob upload events; endpoint for automated workflow invocation.
3.7. Google Cloud Storage
• Feature/Setting: Bucket notification for completed uploads; trigger Cloud Functions for analysis jobs.
3.8. ESRI ArcGIS Online
• Feature/Setting: Update hosted feature layer automatically upon new geo-referenced data ingest; use REST API and bearer token.
3.9. QGIS Server
• Feature/Setting: API call to publish new layers from processed drone maps; set up credentials and endpoint.
3.10. SAP Hana
• Feature/Setting: Ingest drone analytics data via OData REST endpoints; map field data schema and authentication token.
3.11. Salesforce
• Feature/Setting: Update or create Case/Asset on new analysis; use REST API with object mapping for agronomic incidents.
3.12. Power BI
• Feature/Setting: Real-time dataset push using Power BI REST API; API key, dataset/table mapping required.
3.13. Tableau Online
• Feature/Setting: Scheduled extract refresh and web data connector for ingesting new drone analytics; authentication required.
3.14. Google Sheets
• Feature/Setting: Append processed data via Sheets API; OAuth credentials, define target worksheet.
3.15. Microsoft Excel (Office 365)
• Feature/Setting: Update rows in Excel online via Microsoft Graph API; workbook and worksheet IDs required.
3.16. Slack
• Feature/Setting: Notify channel on analysis complete using Webhooks API; configure webhook URL and message template.
3.17. Microsoft Teams
• Feature/Setting: Adaptive Card message posting via Teams API on data ingest or warnings; set channel and message JSON.
3.18. ArcGIS Field Maps
• Feature/Setting: Auto-update mobile maps after backend sync using Field Maps API; set feature layer and OAuth.
3.19. IBM Maximo
• Feature/Setting: Create or update Work Order/task on actionable drone finding; use REST integration, map fields.
3.20. Quickbase
• Feature/Setting: New record creation or update from drone assessments; configure API token and table link.
3.21. Zoho Analytics
• Feature/Setting: Upload processed output for reporting via Data API; set up API key, workspace, and table mapping.
3.22. Splunk
• Feature/Setting: Ingest drone log/telemetry for anomaly detection using HTTP Event Collector; configure collector token.
Benefits
4.2. Accelerates agronomic decision-making with near real-time updates.
4.3. Reduces operational risk and data error through automation.
4.4. Enables multi-system notifications and alerts.
4.5. Supports regulatory compliance through standardized, timestamped reporting trails.
4.6. Enhances scalability and consistency for large-scale agri-engineering operations.