Centralized dashboard for crop health trends

Purpose

1. Aggregate, monitor, and analyze crop health data from diverse sources (satellite, IoT, sensors, weather, drone imagery).

2. Centralize real-time field insights for agronomists, farm managers, and stakeholders to enable rapid, data-driven decisions.

3. Automate alerts, trends, and forecasting for proactive agronomic interventions and yield optimization.

4. Integrate historic crop data, pest/disease reports, growth stages, and environmental conditions for comprehensive crop health monitoring.

Trigger Conditions

1. Scheduled collection of new sensor/IoT data (hourly, daily).

2. Arrival of remote sensing imagery for target fields.

3. Manual field report submission by workers or agronomists.

4. Threshold breach of crop stress indicators (NDVI, soil moisture, temperature).

5. New weather forecasts impacting crop risk factors.

6. Receipt of pest/disease outbreak notifications via external databases.

7. Scheduled management reporting periods (weekly, monthly).

Platform Variants

1. Microsoft Power BI

• Feature/Setting: API integration for ingesting sensor and weather data streams; configure REST API and push dataset with Azure Logic Apps.
  

2. Tableau

• Feature/Setting: Web Data Connector for live data pulls from cloud sensor/IoT APIs; scheduled refresh enabled in Tableau Server.
  

3. Google Data Studio

• Feature/Setting: Google Sheets or BigQuery data sources with Apps Script-based ingestion routines for remote imagery and sensor feeds.
  

4. Grafana

• Feature/Setting: Data source plugin for InfluxDB; configure alert rules on crop stress metrics for dashboard panels.
  

5. ArcGIS Online

• Feature/Setting: Feature layer for farm parcels; configure REST API sync with satellite imagery updates and field sensor readings.
  

6. AWS QuickSight

• Feature/Setting: S3 bucket connection ingesting CSV/json from drone data pipelines; automate with AWS Lambda function triggers.
  

7. IBM Cognos Analytics

• Feature/Setting: External Data Connector for integrating IoT device platform API response as new dashboard dataset.
  

8. Qlik Sense

• Feature/Setting: REST connector configuration to poll cloud weather service API and automate crop risk indicators.
  

9. SAP Analytics Cloud

• Feature/Setting: Live data connection to SAP IoT; custom alert configuration for NDVI anomaly detection.
  

10. Zoho Analytics

• Feature/Setting: Data Import API for scheduled sync from agriculture sensor platforms; create auto-update rules per field zone.
  

11. Smartsheet

• Feature/Setting: Data Uploader for periodic CSV fetch from remote weather station; automated alert cell rules on defined thresholds.
  

12. Klipfolio

• Feature/Setting: REST/SQL data sources; trigger PM2.5 and crop temperature updates via platform API scheduler.
  

13. Domo

• Feature/Setting: Workbench connector for integrating historical field data; API integration for live imagery overlays.
  

14. Sisense

• Feature/Setting: Elasticube connector ingesting sensor payloads; custom alert widgets for field health status changes.
  

15. Monday.com

• Feature/Setting: Board automation for new crop health entry (via webhook); status column for real-time alerting.
  

16. Notion

• Feature/Setting: API automation to update crop observation database; filtered dashboard views for active alerts.
  

17. Slack

• Feature/Setting: Incoming Webhook to post crop health summaries and real-time stress alerts into dedicated channel.
  

18. Google Sheets

• Feature/Setting: App Script triggers for ingesting and formatting incoming crop data for live dashboard charts.
  

19. Airtable

• Feature/Setting: API automation for new survey entries; interface dashboard block showing daily trend analysis.
  

20. Trello

• Feature/Setting: Automation rules to create new cards for crop health issues; board view for field-level tracking.
  

21. Salesforce

• Feature/Setting: Flow triggers on custom Crop_History object; dashboard for alerts and intervention recommendations.
  

22. Zapier

• Feature/Setting: Multi-step zap for new sensor alert → Google Sheets → SMS/email/reporting.
  

23. Pipedream

• Feature/Setting: API workflow for fetching new satellite images and appending parsed NDVI metrics into central DB.
  

24. Integromat (Make)

• Feature/Setting: HTTP module for pulling sensor JSON, auto-routing findings to reporting Google Slides/Sheets.
  

25. Power Automate

• Feature/Setting: Workflow for IoT hub alert → SharePoint file update → Teams notification.
  

26. Asana

• Feature/Setting: Project automation to create task for critical crop issue; dashboard for incident management.
  

Benefits

1. Unified view of all farm health signals in a single dashboard.

2. Rapid detection and prioritization of crop stress across large holdings.

3. Fewer manual errors and time savings with automatic data aggregation.

4. Improved yield forecasting and resource allocation with historical and real-time trend analysis.

5. Faster, evidence-based intervention leading to lower crop losses.

6. Scalable architecture to add new data sources or analytics modules easily.