Research-Backed, Not Generic AI
Every answer is grounded in current publications from leading agriculture colleges and extension programs — not generic internet scraping.
🌾 Research-Grounded Agronomy Intelligence
Answers grounded in real agronomy research — not generic AI.
Cornbelt AI connects corn and soybean growers to curated university extension research, live agricultural data, and AI-powered analysis. Get answers you can actually act on, backed by sources you can trust.
Start Beta TestingLocation-Specific Guidance
Get advice tailored to your geography, local weather context, and regional production realities.
Disease & Pest Intelligence
Identify disease symptoms and pest pressure early with AI-assisted diagnostics grounded in extension pathology resources.
Built for Corn + Soybean Workflows
Designed for real in-season decisions across fertility management, disease risk, and field crop management.
How Cornbelt AI Works
Purpose-built for agriculture — not a general-purpose chatbot repurposed for farming.
Curated Agronomy Research Database
Our knowledge base is built from hundreds of peer-reviewed publications, university extension guides, and crop production manuals — continuously updated as new research is published.
AI with Retrieval-Augmented Generation
Ask any agronomy question and get answers grounded in real sources. Our RAG architecture retrieves directly from the research database — no hallucinations, always cited.
Live Agricultural Web Search
Stay current with real-time disease pressure alerts, weather-driven risk windows, and trusted ag news — integrated directly into every answer.
Continuous Knowledge Updates
As universities and extension programs publish new findings, Cornbelt AI's knowledge base grows — keeping your guidance fresh through planting, growing, and harvest seasons.
See It in Action
Ask a question. Get a grounded answer — with the sources to back it up.
What are the early warning signs of gray leaf spot in corn, and at what growth stage should I consider a fungicide application?
Gray leaf spot (Cercospora zeae-maydis) typically appears as small, tan to gray rectangular lesions confined between leaf veins, often with a yellow halo. Early symptoms usually appear on lower leaves first.
Research from Purdue Extension and University of Illinois indicates fungicide applications at VT (tassel) to R1 (silking) are most effective when conditions favor disease — humidity above 90% and temperatures between 75–85°F. Applications after R2 typically show diminishing economic returns.
Sources:
Purdue Extension — BP-96-W
U of I Extension — RPD No. 200
Iowa State Extension — ICM-49
Trusted Sources
Cornbelt AI draws from the most respected agricultural research institutions in the Midwest and beyond.
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Purdue Extension
Crop science, agronomy, and pest management publications from Purdue University.
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Iowa State Extension & Outreach
Integrated crop management resources and field research from Iowa State University.
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University of Illinois Extension
Crop production guides, disease and pest diagnostics, and fertility management from U of I.
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USDA Agricultural Research Service
Peer-reviewed research from the nation's leading federal agricultural science agency.
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University of Nebraska-Lincoln Extension
Corn and soybean management, disease scouting, and production guides for the central Corn Belt.
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Michigan State University Extension
Field crop agronomy, soil fertility, and integrated pest management resources.
Join the Controlled Beta
Cornbelt AI is in active beta today. Responses may be incomplete or imperfect while we improve quality with tester feedback.
Always verify agronomy, pesticide, chemical, and label recommendations with official sources and local professionals.