# Glossary: precision ag terms used in GeoPard GeoPard uses agronomy, GIS, and machinery terms in one workflow. This glossary gives each term a clear meaning, so teams move faster and avoid costly mistakes. ### Core platform terms #### Farm A container for a group of fields. Use farms to organize land by grower, business unit, or customer. #### Field A mapped land parcel with a boundary. Most analytics, imports, exports, and prescriptions start at the field level. #### Boundary The polygon that defines the field shape. Accurate boundaries improve imagery clipping, zone creation, statistics, and machine exports. See [Draw a new field](/geopard-tutorials/product-tour-web-app/farm-and-field-setup/draw-a-new-field.md), [Upload a field boundary](/geopard-tutorials/product-tour-web-app/farm-and-field-setup/upload-a-field-boundary.md), and [Edit a boundary](/geopard-tutorials/product-tour-web-app/farm-and-field-setup/edit-a-boundary.md). #### Label A tag used to organize farms, fields, or seasons. Labels help teams filter data and manage many clients or crop years. See [Managing Crop Season information with tags(labels)](/geopard-tutorials/product-tour-web-app/managing-crop-season-information-with-tags-labels.md). #### Organization A shared workspace structure for teams. Organizations control user permissions, billing, and data access. See [Organizations and Roles](/geopard-tutorials/product-tour-web-app/organizations-and-roles.md). ### Mapping and analytics terms #### Satellite image A remote sensing image of a field from sources like Sentinel, Landsat, or Planet. Use it to monitor crop development, stress, and in-season variability. See [Satellite Monitoring](/geopard-tutorials/product-tour-web-app/satellite-monitoring.md). #### Index A calculated layer derived from satellite bands. Common examples include vegetation, chlorophyll, moisture, or soil brightness indices. See [Indices for Crops and Soils](/geopard-tutorials/product-tour-web-app/satellite-monitoring/indices-for-crops-and-soils.md). #### Raster map A gridded map made of many cells or pixels. Satellite analytics, topography, and equation outputs often use raster format. #### Vector layer A map made of points, lines, or polygons. Field boundaries, zones, scouting pins, and many exports use vector format. #### Zones map A polygon layer that splits a field into management areas with similar behavior. Zones maps are a base for variable-rate plans, soil sampling, and analysis. See [Zones Maps and Analytics](/geopard-tutorials/product-tour-web-app/zones-maps-and-analytics.md). #### Management zone A part of a field grouped by similar productivity, soil, yield, elevation, or imagery response. The goal is to manage each zone differently to improve ROI. #### Multi-layer analytics A method that combines several data layers into one zone map. This is useful when no single dataset explains field variability well enough. See [Multi-Layer Analytics](/geopard-tutorials/product-tour-web-app/zones-maps-and-analytics/multi-layer-analytics.md). #### Equation map A map generated from a custom agronomic formula. It combines one or more datasets into a new output layer. See [Equation-based Analytics](/geopard-tutorials/product-tour-web-app/equation-based-analytics.md). #### Prescription map A map that assigns a target rate to each zone or grid cell. Prescription maps are used for seeding, fertilizer, lime, crop protection, and tillage. #### VRA Short for variable-rate application. It means changing the input rate across the field instead of using one flat rate everywhere. #### Rx map Short for prescription map. In practice, Rx map and VRA map are often used the same way. ### Agronomy and field data terms #### Yield dataset Spatial harvest data imported from a yield monitor. It helps quantify productivity, compare seasons, and build better zones and prescriptions. See [Yield Data & Harvest Analytics](/geopard-tutorials/product-tour-web-app/yield-data-and-harvest-analytics.md). #### Yield cleaning The process of removing noise from harvest data, such as turn rows, lag effects, outliers, or sensor errors. Clean yield data improves decisions and economics. See [Yield Calibration & Cleaning](/geopard-tutorials/agronomy/yield-calibration-and-cleaning.md). #### Yield calibration The process of aligning monitor values with trusted harvested totals or reference measurements. Calibration improves accuracy before comparing fields or building prescriptions. #### Synthetic yield map A reconstructed yield map for years with missing or poor harvest data. It uses other spatial data to estimate realistic yield patterns. See [Synthetic Yield Map](/geopard-tutorials/agronomy/synthetic-yield-map.md). #### Soil dataset A spatial layer from soil sampling, lab results, or soil scanning. It is commonly used for lime, fertilizer, zoning, and trend analysis. #### Topography map A map of elevation-derived properties such as slope, aspect, or terrain shape. It helps explain water movement, erosion risk, and stable field patterns. See [Topography](/geopard-tutorials/product-tour-web-app/topography-analysis-for-precision-agriculture.md). #### As-applied dataset A machine-recorded map of what was actually applied in the field. Use it to validate execution quality and compare target versus real rates. See [As-Applied/As-Planted Data Import](/geopard-tutorials/product-tour-web-app/import-precision-agriculture-data/as-applied-as-planted-data-import.md). #### As-planted dataset A machine-recorded map of what was planted, including seeding rates and planting details. It supports stand analysis, prescription validation, and trial work. #### Scouting pin A geo-referenced note attached to a field or layer. Teams use pins to document field observations, issues, and follow-up actions. ### Soil sampling terms #### Grid sampling A sampling method that splits a field into regular cells. It is useful for baseline soil mapping and repeatable comparisons over time. #### Zone sampling A sampling method based on management zones rather than equal grid cells. It focuses sampling effort where field variability matters most. #### Core sample A single soil sample taken at one specific point. Core sampling gives higher spatial detail but usually costs more. #### Composite sample A mixed sample created from several cores within one zone or grid cell. Composite sampling lowers lab cost while preserving useful zone-level insight. #### Sampling plan A planned set of sampling points, routes, labels, and export options for field execution. Good planning cuts field time and improves consistency. See [Soil Sampling - Automated Planning](/geopard-tutorials/product-tour-web-app/soil-sampling-automated-planning.md). ### Export and integration terms #### Shapefile A common vector GIS format used by many agronomy and mapping tools. It is widely supported for boundaries, zones, and prescription exports. #### GeoJSON A lightweight vector data format often used in GIS tools, APIs, and web workflows. #### GeoTIFF A raster format that stores map values with geographic coordinates. It is commonly used for imagery, topography, and gridded analytics. #### ISOXML / ISOBUS file A machine-ready standard for transferring prescription data to compatible ag equipment. These files usually carry zone-based vector maps or raster prescriptions generated from equations. GeoPard supports ISOXML / ISOBUS workflows across versions for both vector and raster files. This reduces file conversion work and helps maps move faster to the monitor. See [Machinery Proprietary Formats](/geopard-tutorials/product-tour-web-app/import-precision-agriculture-data/machinery-proprietary-formats.md) and [Export VRA map In ISOXML Format](/geopard-tutorials/product-tour-web-app/export-download/export-vra-map-in-isoxml-format.md). #### Work Plan A structured machine task sent through John Deere Operations Center. It packages field, operation, and prescription details for execution. See [Export Rx Maps to John Deere Operations Center as Work Plans](/geopard-tutorials/product-tour-web-app/john-deere-operations-center-integration/8.-export-rx-maps-to-john-deere-operations-center-as-work-plans.md). #### API A programmatic interface for reading data, automating workflows, and triggering analytics in GeoPard. It is used by enterprise systems, partners, and advanced teams. See [API Docs](/geopard-tutorials/api-docs/geopard-api-overview.md). #### MCP GeoPard MCP is the bridge between GeoPard data and AI clients. It lets AI tools access platform context and run supported workflows. See [GeoPard MCP](/geopard-tutorials/product-tour-web-app/geopard-mcp.md). ### Related docs * [Introduction to GeoPard](/geopard-tutorials/geopard-docs-precision-agriculture-tutorials-and-api-reference.md) * [Product Tour - Web App](/geopard-tutorials/product-tour-web-app/yield-data-and-harvest-analytics.md) * [Precision Agronomy Use Cases & Best Practices Overview](/geopard-tutorials/agronomy/precision-agronomy-use-cases-and-best-practices-overview.md) * [Import](/geopard-tutorials/product-tour-web-app/import-precision-agriculture-data.md) * [Export / Download](/geopard-tutorials/product-tour-web-app/export-download.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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