2026

Field boundaries are georeferenced polygons that define where an agricultural field starts and ends. They are the foundational spatial unit in agricultural software — every other data layer (yield maps, prescriptions, soil samples, imagery) is clipped to or referenced against field boundaries. Through FieldMCP, boundaries are returned as GeoJSON Polygon or MultiPolygon features.

What a Field Boundary Contains

A field boundary object from FieldMCP typically includes:

• Geometry — A GeoJSON polygon with coordinates in WGS 84 (longitude, latitude)
• Name — The farmer's name for the field (e.g., "North 80", "River Bottom")
• Area — Calculated acreage or hectarage
• Farm association — Which farm or operation the field belongs to
• Provider ID — The upstream identifier in John Deere or other platforms
• Crop history — What was planted in recent seasons (when available)

Why Boundaries Matter

Field boundaries are the join key for agricultural data. When you query yield data, you query it for a specific field. When you generate a prescription, you generate it within a field's boundary. When you display NDVI imagery, you clip it to field boundaries. Without accurate boundaries, no other spatial data is useful.

Common Challenges

• Boundary versioning — Fields get split, merged, or redrawn between seasons. Always query boundaries for a specific crop year.
• Sub-field management — Some operations manage zones within a field separately. FieldMCP supports querying management zones when the provider makes them available.
• Overlapping boundaries — Different providers may have slightly different boundary coordinates for the same physical field. FieldMCP's data normalization helps reconcile these differences.

Accessing Field Boundaries

FieldMCP provides MCP tools for listing and retrieving field boundaries. A typical workflow starts with listing all fields for an organization, then querying specific fields for detailed boundary geometry and associated data.

See the tools reference for available field boundary operations and the geospatial data glossary entry for format details.