EarthDaily Agro

Agriculture · Weather & Environment

EarthDaily Agro is the precision agriculture data intelligence platform from EarthDaily Analytics, providing field-level crop monitoring, agronomic analytics, and agricultural intelligence derived from high-frequency, high-resolution satellite imagery. EarthDaily Agro is designed for agribusinesses, commodity trading firms, agricultural insurance companies, and agritech developers that require enterprise-grade crop intelligence for operational decisions involving significant financial stakes.

paid

API Key

Configurable based on enterprise contract

✗ Not Available

Best For

Advanced agronomy analytics and field-level optimization

Pricing

Enterprise satellite agriculture analytics platform. Nigeria farmland is within global coverage. Pricing is enterprise-only — contact EarthDaily directly. Verify current product offering and API documentation at earthdaily.com.

Key Highlights

  • High-resolution satellite vegetation indices processed to field level — detecting crop stress days earlier than standard NDVI tools
  • Yield maps generated from satellite time-series data allow farmers and insurers to estimate production before harvest
  • Integrates multiple satellite sources (Sentinel, Planet, commercial) for cloud-free coverage in tropical climates like Nigeria
  • Agriculture-specific image processing pipeline corrects for atmospheric effects and sensor differences across satellite sources
  • Global coverage including Nigerian farmland — field-level analytics accessible for any farm location in all 36 states

Required Access Documents

  • API KeyRequired
    Sign up for a developer account to obtain an API key/credentials.

Use Cases

  • Yield Optimization:Generate yield maps from satellite data to optimize inputs.
  • Field Variability:Analyze field zones for precision input application.
  • Insurance Claims:Support crop insurance with satellite-based documentation.
  • Stress Detection:Detect crop stress early through vegetation monitoring.
  • Historical Analysis:Analyze multi-year field performance for agronomic decisions.

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