The AI in Business Podcast Data Solutions for Tailoring Agronomic Support to Meet Regional Needs - with Tami Craig Schilling of Bayer Crop Science
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Jan 6, 2026 Tami Craig Schilling, Vice President of Agronomic Digital Innovation at Bayer Crop Science, leverages her extensive experience in agricultural sales and R&D to discuss the transformative impact of generative AI on farming. She explains how localized data can optimize the agronomic support throughout the crop cycle, addressing unique regional challenges. Tami introduces the ELI tool for tailored recommendations and emphasizes the collaborative role of farmers in data sharing, ensuring precise and actionable insights to support both smallholder and commercial farming.
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Four-Step Crop Cycle Guides Support
- Every crop follows a clear four-step cycle: plan, plant, grow, harvest.
- Bayer uses that consistent cycle to target agronomy support and product timing.
Every Field Is Distinct
- Every single field is unique due to soil history, management, and local environment.
- Bayer models genetics-by-environment interactions to predict product performance locally.
Triangulate GxE With Generative AI
- Use generative AI to triangulate genetics, environment, and management for product recommendations.
- Combine AI outputs with human expertise to handle complex seed and product mixes.