Ag-GIS Data Fundamentals & Spatial Reference Systems
Coordinate reference systems, vector and raster ingestion, projection discipline, and the architectural patterns that keep production pipelines spatially honest.
Python · GIS · Drone · ISOBUS
Precision Ag Python & GIS Automation
Architectural patterns and Python implementations for production-grade precision agriculture pipelines — built for agtech engineers, farm data analysts, and Python GIS developers who treat spatial accuracy as a first-class engineering concern.
Reliable yield maps and variable-rate prescriptions begin long before the combine fires up. They begin with disciplined coordinate reference systems, radiometrically calibrated imagery, and deterministic batch pipelines that scale from single-farm pilots to regional fleets without losing topology, metadata, or compliance trails.
Explore the three pillars below. Each is an end-to-end production
playbook with working rasterio, geopandas,
pyproj, and ISOXML examples — engineered for
repeatability, equipment compatibility, and audit-ready reporting.
Data Fundamentals
Coordinate reference systems, vector and raster ingestion, projection discipline, and the architectural patterns that keep production pipelines spatially honest.
Explore the pillarImagery & Indices
End-to-end UAV pipelines: radiometric correction, masking, band math, NDVI / NDRE / SAVI, temporal aggregation, and threshold-driven prescription export.
Explore the pillarYield & VRA
Combine telemetry, spatial interpolation, management-zone classification, ISOXML / shapefile export, and ISOBUS-ready variable-rate maps.
Explore the pillarWhat you'll find on the site
The site is organized around three production-grade pillars. Each pillar links to focused deep-dives on the operations, schemas, and Python patterns that turn raw field data into ISOBUS-ready prescriptions.
Drone Imagery Processing & Vegetation Index Workflows
End-to-end UAV pipelines: radiometric correction, masking, band math, NDVI / NDRE / SAVI, temporal aggregation, and threshold-driven prescription export.
Yield Mapping & Variable Rate Prescription Generation
Combine telemetry, spatial interpolation, management-zone classification, ISOXML / shapefile export, and ISOBUS-ready variable-rate maps.
Engineered for the realities of precision agriculture
Every guide on the site is grounded in operational constraints: GPS drift, RTK precision budgets, FMIS interoperability, regulatory caps, and the unforgiving feedback loop between prescription accuracy and acre-level ROI. Code blocks are runnable, syntactically clean, and ready to drop into Python batch workers, Dask clusters, or ISOBUS export pipelines.