GeoPard Pricing. All-in-one Precision agriculture mapping solution

Compare Features and Plans

Features:
Free Trial
Pay-As-You-Go Monthly
Annual Subscription
Enterprise
Area enabled
100 ha(250 ac)
No limit
Based on purchased amount
Based on purchased amount
Create Management Zones (multi-layer) for VRA
Create Equation (formula)-based maps
How Pricing works
No credit card required, no obligations, 30-day trial
Based on usage. Automated charging at the end of the month. Each month, static costs are minimal (account access and field data storage/monitoring). See details in the pricing table above.
You buy yearly subscription for the acres needed, then upgrade on demand. See details in the Pricing table above
Custom Pricing
Farm & Field management. Flexible labels (tags) per field can be assigned
Boundary Updates & Data Management: Automatically detects, clips, and (when needed) merges datasets based on new or updated field boundaries for seamless data consistency.
Import field boundaries as SHP, KML, or KMZ
Draw Field Boundary
John Deere Ops Center Integration. Bi-directional, automated
Automated Field Potential Maps
Automated Topography Maps (LIDAR for some countries like USA, UK, 5m resolutions for others)
3D Maps. Including exaggeration
Soil Sampling data Import and analytics
Soil Scanner data Import and analytics (including EC, Veris, SoilOptix, etc.)
As-Applied and As-Planted Data Analytics
Yield Data Import
Yield Data Cleaning and Calibration (A.I., USDA protocol or by statistical rules)
Synthetic Yield Data Generation
Planet Labs Imagery
Historical Satellite Imagery (1988-now). Landsat and Sentinel.
Current Satellite Imagery. Landsat and Sentinel. On average a new image every 4 days.
Best in the industry automated cloud and shadow detection in satellite imagery
Advanced contrast stretching of satellite imagery
Support of ±20 vegetation and soil indices (incl. relative moisture, soil brightness, chlorophyll, LAI, EVI2, NDVI)
Export data layers in Shp, Geojson, Geotiff, and Isoxml formats
Export as PDF (one field, up to 60 layers with meta-information)
Import of machinery data formats: .shp, .adm (ADAPT), .jdl (John Deere Link), .fdd, .fld, .fmd (John Deere), .dat, .2020 (Climate FiedlView), .cn1 (CNH), .xml, .bin
User Seats
1
Add On Demand
Add On Demand
Add On Demand
Create Organizations and Enable Permissions
Automated Workflows (zones, equations, based on event triggers or schedulers)
Automated reports (like zones, machinery statistics)
White Label Solution
API access
Email Support
Help with Onboarding
Messenger support

GeoPard vs. Competitors: Key Features Comparison

Feature
GeoPard
Top Competitors
Data Ownership & Privacy
✅ User-owned data & analytics. Strict no-reselling policy. Independent platform with no ties to agribusiness corporations.
❌ Competitors may share anonymized data with partners or parent companies
Multi-Layer Zoning
✅ Combines unlimited layers (satellite, soil, yield, topography) with custom weights. Supports 35+ years of historical imagery for precision zoning.
❌ Limited layering options; most competitors focus on 1-2 data sources (e.g., satellite + soil) without weight customization.
Superior Field Potential Maps
✅ 35+ years of satellite data (Landsat/Sentinel/Planet) with AI-driven productivity maps. Automated contrast stretching and anomaly detection. Ability to merge various types of data
⚠️ Shorter historical data
Equation-Based Maps
✅ Formula-driven prescriptions (e.g., nitrogen rates) using AI/ML models. Integrates agronomic logic into VRA maps.
❌ Rarely supported; competitors rely on static zoning hardly customizable logic.
Automation
✅ Fully automated workflows (zoning, analytics, reports) with event triggers. Includes yield data cleaning, synthetic yield generation, and cloud detection.
✅ End-to-end pipeline: Imagery selection → Cloud detection → Zoning → VRA map generation → Machinery sync.
⚠️ Partial automation, lack of customization
API Flexibility
✅ GraphQL & REST APIs with access to raw data, analytics, and prescriptions. Supports white-label integrations and custom workflows
❌ Limited or no API access.
Cloud/Shadow Detection
✅ Best-in-class automation for cloud/shadow removal in satellite imagery. Real-time processing for accurate analytics.
⚠️ Large amount of clodus& shadows detection errors (both false positive and false negatives)
John Deere Ops Center Integration
✅ Seamless two-way automated sync for field boundaries, as-applied maps, and yield data. Real-time prescription uploads directly to JD machinery. Send Map Layers (Topography, Soil data, Equation maps). Create WorkPlans even with various application maps in one WorkPlan.
⚠️ Limited or manual import/export
Yield Cleaning & Calibration
✅ AI-powered outlier detection with automated noise reduction. Customizable thresholds for yield data correction. USDA Protocol Support.
❌ Not offered  or very limited
Synthetic Yield Maps
✅ Generate AI-driven yield predictions using soil, satellite, and weather data. Ideal for fields lacking historical data. Also works with partial yield files.
❌ Not offered 
Raster & Vector Data Support
✅ Full compatibility: NDVI rasters, shapefiles, GeoJSON, KML. Edit vector zones in-platform.
⚠️ Limited import, export and editing tools
Spatial Resolution Flexibility
✅ Any resolution supported (10m Sentinel-2 to 0.3m soil scanner data). Automated AI downscaling and interpolation to ±1m per pixel.
❌ Fixed resolutions
Zones Classification
✅ 6+ clustering methods: Natural breaks, Equal area, Equal count, Spatially localized clustering (for soil sampling), Custom thresholds. Adjustable minimum polygon area.
⚠️ One preset method. No polygon size control.
Satellite Downscaling
✅ Automated 1m resolution. Enhance historic and current low-res imagery.
❌ Competitors use native resolution
3D Maps
✅ Create 3d map dynamic model using remote sensing or GPS data
⚠️ Some have limited static 3d maps
Spatial Resolution Flexibility
✅ Any resolution supported (10m Sentinel-2 to 0.3m soil scanner data). Automated AI downscaling and interpolation to ±1m per pixel.
❌ Fixed resolutions
Pricing Flexibility
✅ Free trial + Pay-as-you-go/Annual/Enterprise plans. No area limits on analytics. White-label options and custom integrations.
⚠️ Fixed subscriptions. Limited scalability for large farms.
Data Interoperability
✅ 20+ import/export formats (SHP, ISOXML, John Deere Ops Center, proprietary formats). Seamless machinery integration.
⚠️ Limited amount of supported formats
Boundary Updates & Field Data Management
✅ When a new boundary is uploaded via UI or API, the system automatically identifies datasets covering the new field boundary across all fields and clips them accordingly. For updated boundaries, it finds overlapping datasets, merges them when attributes match, and clips the result by the updated boundary.
⚠️ Often rely on manual adjustments and lack full automation for detecting, merging, and clipping datasets, resulting in increased manual work and data inconsistencies.
Note: Competitor data sourced from independent industry reports and platform analyses

Why GeoPard Stands Out

  • Unmatched Flexibility: GeoPard’s multi-layer zoning and equation-based maps adapt to diverse agronomic needs, allowing users to prioritize soil, yield, topography or satellite data with custom weights. Your agronomy, your rules.
  • Future-Proof Automation: From AI-driven yield calibration to automated VRA map generation, GeoPard reduces manual work by 80% while maintaining precision.
  • Scalable API Ecosystem: GeoPard’s API enables seamless integration with existing farm management software, machinery, and third-party tools—critical for farmers, agronomists, enterprises and agtech developers.

For a deeper dive into GeoPard’s capabilities, explore our Documentation portal.

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