Purpose
1.2. Integrate with diverse data sources (sensors, APIs, satellites) to detect anomalies that can affect crop yield or resource use.
1.3. Automatically notify relevant teams or stakeholders via preferred communication channels for rapid response.
1.4. Preserve historical data for compliance and season-over-season optimization.
Trigger Conditions
2.2. Pest: Elevated pest detection from field sensors or reporting APIs.
2.3. Irrigation: Soil moisture below configurable percentage or system malfunction.
2.4. Data anomaly: Missing sensor data or abnormal values for any condition.
Platform Variants
3.1. Twilio SMS
• Feature: REST API — send automated field alert SMS
• Example: Configure 'Message' endpoint and webhook with field data variables.
3.2. SendGrid
• Feature: Email API — send structured email alerts
• Example: Use single send mail with dynamic templates triggered by weather events.
3.3. Slack
• Feature: Incoming Webhooks — real-time alerts to dedicated channel
• Example: Configure webhook URL and compose JSON payload with alert details.
3.4. Microsoft Teams
• Feature: Incoming Webhook Connector — push card-based alerts
• Example: Set up Teams connector and POST JSON containing farm, event, and recommended action.
3.5. Telegram
• Feature: Bot API — private/group field condition notifications
• Example: Use /sendMessage API to the group chat with alert text.
3.6. WhatsApp Business API
• Feature: Send Message — direct field team notification
• Example: Use 'messages' endpoint with predefined templates for incidents.
3.7. Pushover
• Feature: User Key Notification — instant mobile push alert
• Example: Integrate API token and send custom messages on sensor value change.
3.8. PagerDuty
• Feature: Events API — automatic incident creation
• Example: Configure trigger event with severity and assign to on-call responder.
3.9. AWS SNS
• Feature: Topic Publish — broadcast alert to multiple endpoints
• Example: Publish message to topic subscribed by email, SMS, or Lambda.
3.10. Google Cloud Pub/Sub
• Feature: Publish Message — send alert to topic for downstream processing
• Example: Send farm event data for contextual alert routing.
3.11. Weatherstack
• Feature: Real-Time Weather API — fetch and evaluate weather changes
• Example: Poll endpoint, compare readings, trigger notification pipeline.
3.12. IBM Watson IoT Platform
• Feature: Device Data Monitor — trigger events on sensor thresholds
• Example: Set rule for soil moisture drop to trigger webhook.
3.13. Agrivi
• Feature: Farm Event Notification — internal mobile and email alerts
• Example: Map API event alert to crop management group.
3.14. CropX
• Feature: Soil Sensor Alerts — automated push & email warnings
• Example: Activate webhook integration per sensor zone.
3.15. Arable
• Feature: Device Alert API — fetch and forward device-triggered events
• Example: Subscribe to event stream for instant anomaly alerts.
3.16. Azure Event Grid
• Feature: Event Topics — raise and route alert events
• Example: Publish lifecycle event with attached condition data.
3.17. SAP IoT
• Feature: Event-based Process Trigger — real-time operational workflow
• Example: Configure sensor event triggers mapped to alert workflow step.
3.18. Netafim Digital Farming
• Feature: NMC Controller Web API — monitor and alert irrigation parameters
• Example: Setup trigger for low moisture and direct alert via platform.
3.19. FieldView API
• Feature: Real-Time Remote Sensing — monitor and push notifications
• Example: Integrate event webhook for pest detection alerts.
3.20. Salesforce
• Feature: Process Builder — trigger workflow for alert records
• Example: Set process: if new farm alert, send email and create task for agri team.
3.21. Zapier
• Feature: Webhooks + App Integrations — connect alert source to any endpoint
• Example: Webhook trigger with multistep action for incident escalation.
3.22. IFTTT
• Feature: Applet Automation — monitor feeds and notify stakeholders
• Example: Create applet: if rainfall detected, then send app notification.
Benefits
4.2. Increases safety and compliance through automated record-keeping.
4.3. Boosts operational efficiency by ensuring immediate action.
4.4. Customizable delivery ensures the right people are promptly informed.
4.5. Scalable for farms of any size and infrastructure.
4.6. Reduces manual monitoring, freeing up resources for core activities.
4.7. Historical data enables better future planning and risk mitigation.