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AGMRI AI Agent Now in Use for Field-Level Agronomic Decisions

Key Takeaways

  • Now live inside the AGMRI platform, the AGMRI AI Agent is in use for the 2026 crop season.
  • Agronomic advisors and growers are using the AGMRI AI Agent to ask questions and get field-level answers in seconds, grounded in their own imagery, soil, weather, input, and yield data.
  • Purpose-built for agronomy, the AI Agent is being used for hybrid placement, in-season decisions, trial data analysis, breakeven and profitability modeling, and grower-ready reports.

INDIANAPOLIS--(BUSINESS WIRE)--Intelinair has launched the AGMRI AI Agent, an AI capability inside the AGMRI platform that lets agronomic advisors and growers ask questions and receive field-level answers in seconds. Now live, the AGMRI AI Agent is built on the agronomic data already in AGMRI: multi-source imagery, soil characteristics, weather, input applications, field boundaries, and historical yield outcomes.

The AGMRI AI Agent gives them a way to surface the right insight on the right acre, instantly, without sacrificing the agronomic rigor behind it, and teams are already putting it to work this 2026 crop season.

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The AGMRI AI Agent is purpose-built for agronomy, not adapted from a general-purpose AI tool. Advisors and growers are using it to ask questions such as "Which hybrids performed best on my high-productivity ground last season?" or "Where should I prioritize replant across these fields?" and receive answers grounded in their own data, eliminating hours of manual report pulling and cross-referencing.

"Agriculture has never had a shortage of data; it has had a shortage of time," said Conner Schmidt, Commercial Leader of Intelinair. "Advisors are managing hundreds of grower accounts, and every recommendation carries weight. The AGMRI AI Agent gives them a way to surface the right insight on the right acre, instantly, without sacrificing the agronomic rigor behind it, and teams are already putting it to work this 2026 crop season."

What the AGMRI AI Agent does

Agronomic advisors and growers are using the AGMRI AI Agent across five core use cases:

  • Hybrid placement and performance: Identifies which hybrids perform best by county, soil type, or productivity zone, and how to manage them in the coming season.
  • In-season decision support: Pairs current crop and weather conditions with historical performance to guide replant, nitrogen timing, and fungicide application.
  • Reports and grower deliverables: Generates field reports, summaries, and shareable documents directly from the conversation.
  • Trial data analysis: Performs comparative analysis of trial results across environments, hybrids, and management practices.
  • Breakeven and profitability analysis: Calculates breakeven yield at the field or hybrid level, factoring in land, machinery, seed, chemical, and fertility costs.

Availability

The AGMRI AI Agent is live now and integrated directly into the AGMRI platform for all AGMRI customers. To learn more or request a demonstration, visit intelinair.com.

Editor's Note: High-resolution images of the AGMRI AI Agent and additional multimedia assets are available for download here.

About Intelinair

Intelinair is the Indianapolis-based agtech company behind AGMRI, a cloud-based agronomic intelligence platform that integrates imagery, weather, soil, input, and yield data to deliver field-level insights to growers, agronomists, and advisors across millions of acres. Learn more at intelinair.com.

Contacts

Media Contact:
Robyn Heine
317/416-4545
robyn@intelinair.com

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