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GeoPard AI Assistant

Reasoning AI for precision agriculture that turns farm data and agronomy knowledge into reviewed, field-ready actions.

Reasoning AI for precision agriculture

2-minute introduction to the GeoPard AI Assistant

GeoPard AI Assistant brings reasoning AI into your daily agronomy workflow. Ask questions in natural language. Explore your farms, fields, datasets, equation maps, and trials. Then turn verified insights into practical actions.

Quickstart

1

Open the assistant

Log in at https://app.geopard.tech. Select AI Assistant in the top-left navigation, directly below the GeoPard logo. The panel is resizable and available across GeoPard.

Open Geopard AI Assistant Icon
2

Pick your context

Navigate to a farm or field. The assistant understands the page you are on and uses it as context.

GeoPard AI - Intents - Prompt library - start
3

Ask a question or use the Prompt library

Type one sentence and follow the assistant's questions and recommendations.

You can also adapt a verified prompt for your field or crop.

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4

Choose or adjust options

GeoPard-ai-select-logic-in-assistant
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5

Review and validate results

Adjust or export the generated prescription when it is ready.

The AI Assistant is in beta. Availability depends on your account configuration.

From question to field-ready action

The assistant works in a resizable side panel across GeoPard. It understands your current page and returns visual answers. These can include map previews, dataset widgets, and assets you can open directly.

Use it to:

  • Ask agronomic questions with farm and field context.

  • Search fields, datasets, maps, and trials faster.

  • Create equation maps and soil sampling plans.

  • Build prescriptions and export work plans to John Deere.

This reduces manual data lookup. It helps agronomists spend more time validating decisions. It also shortens the route from analysis to execution.

Business value

  • Faster analysis: find relevant data and field context without switching views.

  • More consistent recommendations: apply shared product guidance and agronomy standards.

  • Stronger execution: move from validated insights to machine-ready outputs with fewer manual steps.

Explore the assistant

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