Bayer advances sustainable crop protection in agriculture
Bayer, a leading life science company, leveraged Microsoft Azure AI Adapted Models to transform crop protection practices in agriculture. The company developed the E. L. Y. Crop Protection model using Azure AI Studio, targeting real-world agricultural needs for sustainable chemical use, compliance, and tailored agronomic insights. This specialized small language model (SLM) was trained on thousands of crop protection label questions, delivering region- and crop-specific decision support for agricultural partners and enterprises. Deployed through the Azure AI Model Catalog and Copilot Studio, the model provides customizable, responsible AI solutions. The approach ensures scalable support for farms of all sizes, reinforcing responsible usage and regulatory compliance. Microsoft Cloud and a robust ecosystem of partner integrations expand the reach and capability of Bayer's solution, while also maintaining data security and customization. The collaboration enables tailored innovations for operations globally, setting a new benchmark in digital agriculture. With access to a broad range of Azure AI tooling and Copilot Studio, Bayer empowers others in the agrifood chain to implement advanced digital solutions. Bayer's E. L. Y. Crop Protection model exemplifies a responsible, real-world use of generative AI in industry, showing improvement in accuracy, efficiency, and operational reach of crop protection.
- Organization
- Bayer
- Industry
- Agriculture
- Location
- Global
- Published
- November 2024
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Bayer
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Global Ag Tech Initiative
Deployed through the Azure AI Model Catalog and Copilot Studio, the model provides customizable, responsible AI solutions
Primary read
Use case focus
Showing 3 of 3
- 1AI-driven crop protection label query and compliance assistant
- 2Customizable digital advisor for safe chemical usage
- 3Region-specific agronomic knowledge delivery via AI model
- Developed the E.L.Y. Crop Protection small language model using real-world agricultural data.
- Utilized Azure AI Studio and Microsoft Cloud to scale, customize, and deliver the solution globally.
- Enabled integration with various partner and enterprise data sources via Azure AI Model Catalog and Copilot Studio.
- Ensured responsible AI standards, scalability, and modular customization for regions and crop types.
- Increased operational efficiency and scalability for agricultural enterprises of all sizes.
- Established modern, AI-powered digital agriculture benchmarks through secure, cloud-based infrastructure.
Sources & evidence5
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
- Multiple corroborating sources available
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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