Crop and Field ManagementPurpose
1.2. Automates early detection, reporting, and actionable intervention processes across crop cycles to prevent crop loss, enabling continuous field observation without human presence.
1.3. Ensures automatedly accurate, timely, and scalable communication of crop health anomalies to reduce resource waste and maximize yields.
Trigger Conditions
2.2. Automation initiates upon thresholds defined for pest/disease probability models, e.g., image recognition detecting leaf discoloration or spore patterns.
2.3. Satellites/drones capturing abnormal NDVI or spectral indices automate the alert generation process.
2.4. Manual override or scheduled interval-based scanning as fallback automation triggers.
Platform Variants
3.1. AWS IoT Core
• Feature/Setting: Rule Actions; configure to send MQTT message when pest/disease sensor status is triggered.
3.2. Google Cloud Pub/Sub
• Feature/Setting: Publish/Subscribe topics; automate alert message publishing for sensor events.
3.3. Azure Logic Apps
• Feature/Setting: Logic App workflow; automated trigger on IoT message, flow to notification channel.
3.4. IBM Watson Visual Recognition
• Feature/Setting: Classify function; automate plant image labeling to trigger API call if pest/disease is detected.
3.5. Twilio SMS
• Feature/Setting: Messages API; automate sending SMS alerts via programmable messaging upon event detection.
3.6. SendGrid
• Feature/Setting: Email API; automate email alert configuration for rapid distribution to farm management.
3.7. Microsoft Power Automate
• Feature/Setting: Scheduled/triggered flow; automate tasks from sensor events to notifications.
3.8. Zapier
• Feature/Setting: Webhooks & multi-step zaps; automate transfer of detection events to communication tools.
3.9. Slack
• Feature/Setting: Incoming Webhooks; automate alerts to dedicated channel for farm staff collaboration.
3.10. PagerDuty
• Feature/Setting: Event API; automate escalation protocols if threshold of alerts exceeded.
3.11. TagoIO
• Feature/Setting: Analysis Script; automate custom notification logic for multiple sensor inputs.
3.12. Microsoft Teams
• Feature/Setting: Teams Bot; automate chat message notifications to field workers.
3.13. AirTable
• Feature/Setting: Automations; automate record creation for each detection event, with alert tagging.
3.14. Integromat
• Feature/Setting: Automated scenario; automate relay from sensors to end-user alert endpoints.
3.15. Google Sheets
• Feature/Setting: Apps Script trigger; automate log of events and conditional notification.
3.16. Firebase Cloud Functions
• Feature/Setting: Functions triggered by database changes; automate push alert if disease image is saved.
3.17. SAP IoT
• Feature/Setting: Alert Rule; automate workflows connected to SAP ERP for farm resource allocation.
3.18. Notion
• Feature/Setting: Database Automation; automate update and alert linking in farmer’s dashboard.
3.19. Discord
• Feature/Setting: Bot Webhook; automate direct messages or channel notifications for disease clusters.
3.20. OpenWeatherMap
• Feature/Setting: Weather alerts API; automate integration for forecasting disease-prone weather changes.
3.21. ArcGIS Online
• Feature/Setting: GeoEvent Server; automate spatial alerting and mapping of disease risk zones.
Benefits
4.2. Automatedly increases response speed, minimizing crop loss.
4.3. Automator-driven workflows save time, labor, and resources.
4.4. Automating data collection supports precision farming analytics.
4.5. Automation increases overall farm productivity and sustainability.