Glossary
Key terms and concepts in agricultural APIs and precision farming.
Key terms and concepts in agricultural APIs and precision farming.
Key terms and concepts in agricultural APIs and precision farming.
Data-driven analysis that combines field data, agronomic science, and algorithms to generate actionable farming recommendations.
A server that acts as a single entry point for API requests, handling authentication, rate limiting, and routing to backend services.
The practice of systematically walking fields to observe and document crop conditions, pest pressure, and other agronomic issues.
The process of transforming agricultural data from multiple providers into a consistent, standardized format.
The remote monitoring of agricultural equipment through GPS tracking, engine diagnostics, and operational data transmitted from machines in real time.
Software that helps farmers plan, monitor, and document crop production activities and field operations.
GeoJSON polygons that define the geographic extent of agricultural fields, serving as the spatial foundation for all field-level data.
Data that includes geographic coordinates, enabling it to be mapped and analyzed in relation to specific locations on Earth.
Georeferenced crop production data collected during harvest, including yield, moisture, and machine performance metrics.
John Deere's cloud platform for managing farm data, equipment, and operations — the primary data source FieldMCP integrates with.
An authentication pattern where services authenticate directly with each other without human interaction, using client credentials.
An open protocol that standardizes how AI applications connect to external data sources and tools.
A satellite or drone-derived index that quantifies vegetation health by comparing near-infrared and visible red light reflectance.
The modern authorization framework that FieldMCP uses to securely delegate access to agricultural data without sharing credentials.
Georeferenced maps that specify variable seeding rates across different zones of a field for use by precision planting equipment.
A farming management approach that uses data and technology to optimize crop production at a sub-field level.
A mechanism that restricts how many API requests a client can make within a given time window to protect service availability.
The practice of collecting and analyzing soil samples at georeferenced points to map nutrient variability across a field.
Technology that enables field equipment to automatically adjust input application rates based on prescription maps.
The process of collecting georeferenced harvest data to visualize crop production variability across a field.