GeoPard AI Assistant: Reasoning AI for Precision Agriculture

Reasoning AI for Precision Agriculture

Reason. Plan. Validate.

Asks the right agronomic questions, recommends a path, builds the prescription. You pick, nothing runs without you.

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One sample flow, start to finish

Watch the AI think through a real field.

A real session, replayed, and just one sample of the 40+ flows the assistant runs: fertilizer zones for an 84-acre field, from question to prescription to a John Deere Work Plan.

This sample is shown in US units (bu/ac, lb, ppm).

Step 1 of 7 · Start with a questionCreate fertilizer zones for this field
Step 2 of 7 · The assistant reads your fieldReasoning Retrieving field history: soil tests, cleaned corn and soybean harvests, topography, and satellite imagery. Building the full field picture.
Step 3 of 7 · The questions an agronomist would ask

Which nutrient should the fertilizer zones target?

Phosphorus (P₂O₅)
Potassium (K₂O)
Both P₂O₅ and K₂O Recommended
Lime (pH correction)
Step 4 of 7 · The math, in the open

Corn coefficients locked in: 0.37 lb P₂O₅/bu and 0.27 lb K₂O/bu.

I prefilled the rate math from your data. Adjust anything before I build:

  • Yield goal: 200 bu/ac. Set from your cleaned multi-year corn history. Raise it if you are pushing this field harder.
  • Critical thresholds: 20 ppm P, 140 ppm K. Standard Corn Belt targets; I match your lab convention if it differs.
  • Build-up: 18 lb P₂O₅ per ppm below critical, over 3 years. Classic build-and-maintain.

Both equations are assembled and dry-run validated. Nothing is generated until you approve.

Review & Approve Adjust inputs

Yield goal

200 bu/ac Recommended
230 bu/ac, pushing the field
Other…

In the real assistant you type any value and the equations rebuild instantly.

Step 5 of 7 · Dry-run validated

Result · K₂O prescription map

K2O variable-rate prescription map generated by the GeoPard AI Assistant
The rate equation built from your yield goal and soil-test K, with build-up below the critical level. Dry-run validated before generation.
Step 6 of 7 · Nothing runs until you approve

Want me to convert either map to a product rate, export for your controller, or refine the zones?

Convert P₂O₅ map to product (MAP/DAP) Convert K₂O map to product (potash grade) Export both maps to John Deere Operations Center Request fresh soil test to refine build-up
Step 7 of 7 · The plan reaches the machine

John Deere Work Plan · created

John Deere Work Plan created from the GeoPard prescription
Created in John Deere Operations Center: field, product, rates, and operator instructions, synced wirelessly to the machine.
Strategies, not just maps

An agronomist’s process, at software speed.

Asks the right agronomic questionsNutrient targets, yield goals, thresholds. The AI asks what a good agronomist would ask, with a recommended answer ready.
Recommends a path with clear reasoningEvery recommendation shows its logic: the coefficients, the data it used, and what it still needs from you.
Builds the prescriptionZones, rates, and equations assembled and dry-run validated, then exported to your terminal in the format it expects.

You pick. Nothing runs without you.

Local alignment

Passed rigorous agronomic checks.

Every plan is checked against the agronomic standards for its region before generation: nutrient balance and removal coefficients from state extension recommendations (for example Tri-State in the Corn Belt), soil-test critical levels and build-up conventions from your lab, application rate limits and setback distances from local regulations, and any rules you add in your own knowledge base.

Plant Nutrition BalancesPASS
Soil Conservation LimitsPASS
Environmental Safety BuffersPASS
Regional Extension RulesPASS
All Checks Verified
Profitability

Market-aware agronomic decisions.

Payback per zone, before you applyEvery prescription is checked for real marginal ROI before it reaches the machine.
Your real input costsCurrent fertilizer, seed, and crop protection cost feeds per region.
Per-zone profit map with high and negative margin areas
Zone profit scale, real field data: low margin -405 EUR/ha (about -$178/ac) to high ROI +430 EUR/ha (about +$190/ac), computed from as-applied data and current grain, seed, crop protection, and fertilizer costs. Example from a 290 ha EU operation.
Enterprise knowledge integration

Grounded in your proprietary knowledge base.

The assistant answers from your documents, protocols, and history, not from the open internet.

Your data stays private. It is never sent to train any AI model, ours or anyone else’s.

GeoPard AI Assistant knowledge base: your agronomic documents, uploaded and ready
Your knowledge base: manuals, protocols, and research the assistant answers from.
GeoPard AI Assistant response style settings: how the assistant writes
Your response style: units, tone, and citation rules the assistant follows in every chat.
Agribusinesses and EnterprisesConnect internal agronomic manuals, product catalogs, and regional research.
Agronomists and Crop ConsultantsEncode team expertise, field trial rules, and custom client protocols.
Pro Growers and Farm OperationsRetain multi-year farm history and trusted equipment operational limits.
Full platform access

40+ core workflows, powered by AI.

Plan and Prescribe

  • Management zones
  • Soil sampling plans
  • VRA fertilizing and spraying
  • VRA seeding

Operate and Monitor

  • Monitoring and scouting
  • Fields benchmarking
  • Operations log
  • Activity breakdown

Verify and Evaluate

  • Verification of operations
  • Trials: planning and results
  • As-applied accuracy
  • Re-seeding analysis

Post-Harvest and Economics

Data Hub and Integrations

  • John Deere
  • Data import and export
  • Reporting
  • API access
  • CNH (coming soon)
  • AGCO (coming soon)
40+ workflows available through the assistant
Machine ecosystem

Bi-directional data exchange with your machines.

John Deere Ops CenterDIRECT + API
CNH FieldOpsDIRECT + API
AGCO PTxDIRECT + API
Bi-directional sync: telemetry ingest ⇄ direct prescription dispatch

Prescriptions deploy wirelessly to equipment terminals, and as-applied field logs flow back automatically for post-operation performance analytics.

For dealers and ag retailers

Offer it under your own brand.

The assistant is available in GeoPard white-label deployments, so your agronomy team and your growers work inside your brand, with your knowledge base and your product catalog.

White label solutions Partner program

503questions

Regional agronomy, measured and published.

GeoPard AI is evaluated on a 503-question expert-level agronomy benchmark, CCA-style, spanning soil and water, crop management, nutrient management, pest management, and precision ag specialty. Current scores:

Precision ag specialty
100%
Soil and water
95.8%
Crop management
93.8%
Nutrient management
92.9%
Pest management and IPM
77.5%

Benchmark v2, July 2026. We publish every category, including the ones we are still improving.

Open AI stack

Bring your own AI.

Prefer your own AI stack? Through MCP, GeoPard connects to any modern AI tool: ChatGPT, Claude, and whatever comes next. Ask about your fields from the chat you already use, build zones and prescriptions from there, or wire GeoPard data into your own agents and reports.

ChatGPT Claude Your own agents

How to connect GeoPard MCP

Trusted across the industry
Corteva Pfeifer Sure Growth Hutson Nibulon MHP Sergio Bassan VitAgro
Questions farmers ask first

Straight answers.

Is my farm data used to train AI models?

No. The assistant reads your GeoPard account data to answer your questions and build your prescriptions, and that is all it does with it. Your data is not shared with other accounts and is never sent to train any AI model, ours or anyone else’s. You control access, and you can stop sharing at any time.

What data can the assistant access?

Whatever already lives in your GeoPard account: field boundaries, soil tests, cleaned harvest data, satellite history, topography, and as-applied records, plus the documents you add to your own knowledge base. It only sees what your account permissions allow.

How do custom knowledge bases work?

Upload the documents your agronomy runs on: PDF, TXT, MD, HTML, HTM, DOC, DOCX, CSV, XLS, and XLSX files, up to 50 MB per file. You can create multiple knowledge bases, each holding up to 500 MB, and build them together with colleagues. The assistant grounds its answers in these documents and cites them when it makes a recommendation.

How accurate are the AI’s recommendations?

GeoPard AI is evaluated on a 503-question expert-level agronomy benchmark, CCA-style, with published per-category scores ranging from 77.5% to 100% (benchmark v2, July 2026). Every plan is also dry-run validated against agronomic checks before anything is generated. You review and approve every prescription, and we recommend validating rates against your local agronomic knowledge and product labels.

How do I get it?

The assistant works on your GeoPard account data and is included with every GeoPard plan, with fair-use message limits on Trial and Pay-As-You-Go. Start at app.geopard.tech, or book a demo and we will set it up with you on your own fields. See 2026 pricing

Can I use GeoPard with my own AI stack?

Yes. Through MCP, GeoPard connects to any modern AI tool: ChatGPT, Claude, and whatever comes next. MCP access is included on all paid plans. Ask about your fields from the chat you already use, build zones and prescriptions from there, or wire GeoPard data into your own agents and reports. How to connect GeoPard MCP See 2026 pricing

“GeoPard doesn’t just help us visualise data, it gives us the tools to analyse it, create solutions, and write prescriptions.”
Steve Larocque Steve LarocqueBeyond Agronomy owner and FarmVU CEO
Reason. Plan. Validate.

Put a reasoning agronomist behind every acre.

Start a conversation with your own fields. The assistant reads the data you already have.

Explore GeoPard AI Book a demo

Read the docs: tutorials, use-cases, API

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