# Agronomy

- [Precision Agronomy Use Cases & Best Practices Overview](/geopard-tutorials/agronomy/precision-agronomy-use-cases-and-best-practices-overview.md)
- [Field Management Zones (Productivity Zones) Creation Process](/geopard-tutorials/agronomy/field-management-zones-productivity-zones-creation-process.md): From boundary to better agronomy - a step‑by‑step workflow for building, using, and validating management zones.
- [Variable Rate Seeding (Planting) Maps](/geopard-tutorials/agronomy/variable-rate-seeding-planting-maps.md): GeoPard provides several options how to create VRA planting maps
- [Yield Calibration & Cleaning](/geopard-tutorials/agronomy/yield-calibration-and-cleaning.md): How to clean and calibrate yield monitor data in GeoPard. Includes USDA yield cleaning protocol. Fix outliers, striping, turnarounds, and multi-harvester datasets.
- [Synthetic Yield Map](/geopard-tutorials/agronomy/synthetic-yield-map.md): GeoPard's Synthetic Yield Map Module enables farmers to generate accurate retrospective yield maps for past years, enhancing data-driven farm management.
- [Create Soil Sampling Zones, Points, Route, export as KML, and execute](/geopard-tutorials/agronomy/create-soil-sampling-zones-points-route-export-as-kml-and-execute.md): With GeoPard you can easily create smart plans for soil sampling (zonal or grid based), then generate points, route and export in the mobile app or kml/shapefile
- [Evaluate Accuracy of Seeding Application](/geopard-tutorials/agronomy/evaluate-accuracy-of-seeding-application.md): How to evaluate the accuracy of a Seeding Application by comparing the prescribed Target rates with the actual Applied rates on a spatial basis.
- [Evaluate Accuracy of Fertilizer Application](/geopard-tutorials/agronomy/evaluate-accuracy-of-fertilizer-application.md): How to evaluate the accuracy of a Fertilizer Application by comparing the prescribed Target rates with the actual Applied rates on a spatial basis.
- [Field Trial Analytics](/geopard-tutorials/agronomy/field-trial-analytics.md)
- [Nitrogen Use Efficiency (NUE) & Nitrogen Uptake](/geopard-tutorials/agronomy/nitrogen-use-efficiency-nue-and-nitrogen-uptake.md): Calculate TAN, NU, NUE, and nitrogen surplus from as-applied N and yield/protein data. Use maps and stats to spot over- and under-application zones and plan next-season nitrogen.
- [Weed Patches Detection and Herbicide VRA Rx Map](/geopard-tutorials/agronomy/weed-patches-detection-and-herbicide-vra-rx-map.md): Goal: Detect weed patches from satellite imagery and generate an ON/OFF (2‑zone) herbicide prescription (Rx) you can export as SHP, ISOXML, or Send to John Deere.
- [Dealer Workflow in Italy: John Deere Ops Center - GeoPard - VRA Nitrogen - Trials - Profit Maps](/geopard-tutorials/agronomy/dealer-workflow-in-italy-john-deere-ops-center-geopard-vra-nitrogen-trials-profit-maps.md): John Deere Dealer Case Study: Sergio Bassan & GeoPard Drive Precision Ag ROI
- [Use Case: Variable-Rate Nitrogen (VRA) for Potatoes to Realize 5–10% More Yield](/geopard-tutorials/agronomy/use-case-variable-rate-nitrogen-vra-for-potatoes-to-realize-5-10-more-yield.md): Use GeoPard with Sentinel-2 RedEdgeChlorophyll to create VRA N side-dress maps in potatoes -boost yield 5–10% with the same total nitrogen.
- [Comparing Yield Datasets](/geopard-tutorials/agronomy/comparing-yield-datasets.md): Compare yield datasets to gain deeper insights into crop performance across seasons, covering proper Yield Cleaning and Calibration and Synthetic Yield usage.
- [Compare Soil Scanner Data between Years](/geopard-tutorials/agronomy/compare-soil-scanner-data-between-years.md): This article outlines various mathematical methods to quantify differences between soil scanner datasets and enhance decision-making for researchers and agronomists.
- [Flood Insurance Report](/geopard-tutorials/agronomy/flood-insurance-report.md): GeoPard software helps detecting flood cases to assess damage to file insurance damage reports and verify claims remotely
- [VR Lime Application Based on Soil pH Data](/geopard-tutorials/agronomy/vr-lime-application-based-on-soil-ph-data.md): Create a variable-rate lime Rx prescription map from soil pH scans, validate economics, then export as SHP/ISOXML or send to a machine via integrations.
- [Analyzing John Deere See and Spray Data with Custom Formulas](/geopard-tutorials/agronomy/analyzing-john-deere-see-and-spray-data-with-custom-formulas.md): This tutorial helps apply agricultural inputs only in the areas covered by See and Spray data -maximizing accuracy, efficiency.
- [Detecting Clay and Sand with SBI](/geopard-tutorials/agronomy/detecting-clay-and-sand-with-sbi.md): Use satellite imagery to quickly map clay-rich vs. sand-dominant zones without full resurvey.
- [VRA Seeding and Nitrogen Maps from Plant Available Water and Organic Matter](/geopard-tutorials/agronomy/vra-seeding-and-nitrogen-maps-from-plant-available-water-and-organic-matter.md): Build variable-rate seeding and nitrogen maps using Plant Available Water (PAW) and Organic Matter (OM), then export them directly to John Deere as a Work Plan for seamless in-field execution.
- [VR Tillage from Soil Compaction](/geopard-tutorials/agronomy/vr-tillage-from-soil-compaction.md): Build Variable Rate Tillage applications using Soil Compaction data measured at multiple depths.