Crop and Yield ManagementPurpose
1.2. Ensure optimal land use, soil nutrient management, pest reduction, and regulatory reporting through seamless data flow.
1.3. Increase yield certainty by integrating field sensors, satellite data, historical yield records, and research-backed rotation algorithms for data-driven decision making.
1.4. Enable notification, scheduling, recording, and compliance workflows from planning to reporting, minimizing manual input and error.
Trigger Conditions
2.2. Update received from IoT soil or weather sensors indicating soil readiness or forecast anomaly.
2.3. Import or sync of new field boundaries or crops in farm management software.
2.4. Regulatory deadline approaching for crop variation reporting.
2.5. Advisory pushes based on satellite observation or crop health alerts.
Platform Variants
3.1. John Deere Operations Center
• API: Field Management API — auto-sync crop rotation prescriptions to assigned fields.
3.2. Climate FieldView
• API: Field Data Ingestion API — sync planting data and yield forecast adjustments.
3.3. Trimble Ag Software
• Feature: Planned Crop Rotations — schedule and update crop rotation plans for fields.
3.4. Granular Ag Cloud
• API: Field Planning API — push/pull crop rotation models and actuals.
3.5. FarmLogs
• API: Planned Activities endpoint — generate and update crop rotation tasks.
3.6. Agworld
• API: Season Plan API — ingest or adjust field-specific crop schedules.
3.7. Farmers Edge
• Feature: Smart Rotation Planning — create, update, and notify for rotations.
3.8. SAP Rural Sourcing Management
• API: Field Group Management — synchronize field/crop data for compliance.
3.9. IBM PAIRS Geoscope
• API: Data Query — pull satellite, climatic, and historical data for calculation.
3.10. Microsoft Azure FarmBeats
• API: Sensor Data — input real-time soil and crop conditions into rotation logic.
3.11. Trimble Connected Farm
• API: Job Data Transfer — sync planned crop jobs to field devices.
3.12. EOS Crop Monitoring
• API: Field State — set conditional rotation alerts by NDVI or biomass index changes.
3.13. Farmbrite
• API: Crop History — retrieve and analyze data for optimized plans.
3.14. OneSoil
• Feature: Crop Rotation AI — schedule crop suggestions and sync with management tools.
3.15. Agro-op
• API: Field Activities — auto-log and schedule new rotation tasks as per plan.
3.16. AgroSense
• API: Rotational Templates — trigger crop rotations per field template update.
3.17. Zenvus
• API: Sensor Update — use new soil reading events as triggers for rotation planning.
3.18. CropZilla
• API: Planning — import yield models to rotation workflows.
3.19. Raven Slingshot
• API: Machine Scheduling — integrate crop plan into machinery task lists.
3.20. IBM Watson Decision Platform for Agriculture
• API: Agronomic Decision Engine — recommend rotations on forecast and compliance rule changes.
3.21. Google Earth Engine
• API: Satellite Data Export — automate analysis that updates rotations.
3.22. Agrivi
• API: Farm Setup and Activity — auto-update field rotation history and plans.
3.23. Conservis
• Feature: Crop Plan Management — deploy new rotations to operations logs.
Benefits
4.2. Optimizes yields by data-driven rotation informed by real-time field and climate data.
4.3. Simplifies compliance through automated audit trails and reporting.
4.4. Enhances disease and pest mitigation via proactive crop planning.
4.5. Frees up operator time for higher-level decision making.
4.6. Enables scalable and repeatable rotation logic across multiple sites.
4.7. Facilitates cross-system insight by connecting data silos.
4.8. Supports adaptive planning responsive to dynamic weather and market factors.
4.9. Drives resource savings by optimizing machinery and input deployment.
4.10. Ensures continuity and resilience in farm operations.