EarthDaily Agriculture API Origination Intelligence That Anticipates Supply Before Harvest
Agronomic advisory platforms with field-level vegetation monitoring and benchmarking.
Insurance underwriting and monitoring systems with historical risk scoring and compliance checks.
Commodity trading models with regional crop monitoring and yield indicators.
Precision agriculture tools with in-field variability maps and management zone generation.Supply chain visibility dashboards with crop identification and production tracking
Available Analytics
Each analytic is available via RESTful API endpoints with OAuth 2.0 authentication. For full technical documentation, input/output specifications, and example requests, visit the EarthDaily Analytic Catalog on GitHub
Automated Field Borders
AI-powered field boundary detection and delineation without manual digitization or grower input.
Field Maps
Vegetation, biomass, and crop condition maps at field level, available across multiple map types with configurable parameters. Reveals in-field spatial variability in vigor, nutrition, moisture, and canopy structure.
Vegetation Time Series
Harmonized, denoised time series of vegetation indices and biophysical variables for continuous crop monitoring. Medium-resolution imagery from 2017 onward (Sentinel-2, Landsat 8/9) and low-resolution archives from 2003 (MODIS).
Emergence
Satellite-derived detection of crop emergence, confirming successful stand establishment after planting.
Emergence Delay
Measures emergence timing against historical averages, flagging fields with significant delays that may indicate stress or replanting risk.
Planting Validation (ZARC)
Assesses whether sowing dates fall within compliant planting windows, as defined by regulation (e.g. Brazil's Agricultural Climate Risk Zoning guidelines).
Planted Area
Compares satellite-detected planted area against declared or expected area, identifying discrepancies for compliance and fraud reduction.
Peak vegetation and other crop metrics
Crop condition evaluation at key growth stages and ready to feed yield prediction models.
In-Season Monitoring
Continuous tracking of crop development throughout the growing season, surfacing early signs of stress, underperformance, or anomalies.
Disease Risk
Weather-forecast-driven disease pressure modelling to support proactive agronomic interventions.
Bare Soil
Detection of bare soil conditions for field preparation assessment, erosion risk evaluation, and tillage practice monitoring.
Environmental Compliance
Automated compliance screening against regulatory and environmental layers, including compliance reports and overlap analysis with protected areas, embargoes, and deforestation datasets. Currently focused on Brazilian regulatory frameworks.
Historical Potential Score
Evaluates a field's historical yield potential using satellite imagery time series, providing a consistent benchmark for risk assessment and performance comparison across portfolios.
In-Season Potential Score
Evaluates current-season field performance against the field's own historical baseline, scoring relative productivity as the season progresses.
Harvest Detection
Automated identification of harvest timing from satellite observations, marking crop cycle completion for portfolio management and claims workflows.
Change Index
Spatial change detection highlighting where conditions within a field are shifting, revealing early weak zones, emerging stress, and developing in-field variability.
Crop ID API
AI-powered crop classification identifying what is planted and where during the active growing season. Available for the US, Brazil, France, and Germany with crop-specific layers. Access via STAC-compliant crop mask layers or field-level queries.
Regional Monitoring
Aggregated crop condition and production analytics at regional scales, supporting commodity analysis, territory management, and portfolio-level monitoring.
Getting Started
Authentication: All endpoints require OAuth 2.0 token-based authentication via the EarthDaily Identity Server.
Data Formats: JSON responses for field-level queries, GeoTIFF rasters for spatial analysis, and STAC-compliant metadata for catalog access.
Client Libraries: Python client library available for streamlined integration with Pandas, xarray, and geospatial workflows.
Explore the full Analytic Catalog on GitHub.
Who Uses the EarthDaily Agriculture API
AgTech Companies and Platforms:
Power digital farming tools with standardized, field-level datasets that feed crop-specific recommendations, growth models, and advisory services.
Insurance Platforms:
Integrate underwriting risk scores, compliance checks, and in-season monitoring directly into policy management systems.
Commodity and Trading Firms:
Ingest vegetation indices, yield indicators, and regional monitoring data into proprietary models and trading platforms.
Data Science Teams:
Access AI-ready, cross-calibrated datasets that reduce preprocessing time and accelerate model development.
Agronomic Service Providers:
Scale field monitoring, benchmarking, and change detection across large portfolios via automated API workflows.
Next Steps
Explore the Analytic Catalog on GitHub for full technical documentation, endpoints, and example requests
Schedule a consultation to discuss your integration requirements and use case
Request API credentials to begin testing with your own field geometries
Ready to integrate satellite-powered crop intelligence into your platform?
