Normalized claim
Answer accuracy improvement: 40% increase
Bayer has achieved over a 40 percent improvement in answering questions accurately compared to initial testing with ChatGPT.
MicrosoftEvidence: Medium50/100
Bayer and Microsoft Launch Adapted AI Models for Precision Agriculture in the US
Use case typeAgronomic advisoryUpdated Jul 20, 2025
Bayer and Microsoft launched an adapted AI initiative for precision agriculture in the United States. The effort includes E. L. Y. (Expert Learning for You), a domain-specific generative AI model that helps agronomists and farmer-facing employees answer questions on agronomy, farm management, Bayer agricultural products, weather, crop health, and irrigation management. A specialized E. L. Y. Crop Protection small language model based on Microsoft Phi-3 is available on the Azure AI model catalog to support crop-protection decisions and sustainable agriculture.
- Organization
- Bayer
- Industry
- Agriculture
- Location
- United States
- Published
- July 2025
Reported outcomes
4 hours
time savings per weekTime & speed
+40%answer accuracy improvement+90%user willingness to continue and recommend
Strategic outcomes
Better decisions & insightEnhanced productivity for frontline agronomy staffCustomer experience & trustImproved farmer guidanceSustainability & ESGSupports sustainable agriculture
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time savings per week: 4 hours increase
frontline employees report time savings of up to four hours per week
Normalized claim
User willingness to continue and recommend: 90% increase
Focus group testing indicates that 90 percent of E.L.Y.'s users are willing to continue using it and recommend it to a colleague.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Bayer
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- AgroNews
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Agronomic advisory
- 2Decision support
- 3Knowledge management
- Improve agronomic advisory and crop management through AI-driven data intelligence.
- Help agronomists and farmer-facing employees answer complex questions faster and more accurately.
- Support farmers facing regulations, sustainability pressure, and cost-saving needs.
- Bayer developed E.L.Y. (Expert Learning for You), a domain-specific generative AI model continuously validated by Bayer agronomists.
- The team also created E.L.Y. Crop Protection, a specialized Ag Domain small language model based on Microsoft Phi-3 and available on the Azure AI model catalog.
- Automated processes keep the system updated with the latest agricultural information.
Technologies
- Over 1,500 frontline employees in the United States are using the model.
- Bayer reported over a 40 percent improvement in answering questions accurately compared with initial testing with ChatGPT.
- Frontline employees reported time savings of up to four hours per week.
- Focus group testing indicated that 90 percent of users are willing to continue using it and recommend it to a colleague.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Independent source available
- Quantified outcome available
- Technical implementation details available
Type: News ArticlePublished: Jul 20, 2025Publisher: AgroPagesEvidence: SecondaryConfidence: Low
AI-generated summary. Verify important details with the linked sources before relying on this case.
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