Case Study: Bayer Crop Science achieves scalable, AI-powered precision agriculture with TIBCO Software

Bayer Crop Sciences Cultivates Analytics for Crops, Seeds, and Digital Farming

Bayer Crop Science, a global leader in crop protection, seeds & traits, and digital farming, needed to knit together germplasm, chemistry, biotech and data science into an end-to-end pipeline. The company’s challenge was scaling analytics and visualization across diverse teams, unifying disparate data sources without duplication, standardizing statistical models despite limited in-house statisticians, and driving adoption and governance across thousands of users to support precision-ag use cases.

By deploying TIBCO Spotfire and TIBCO Data Virtualization and applying FAIR data principles, Bayer centralized access, standardized R models, and scaled analytics from 40 to 14,000 users. AI-driven image analytics on drone imagery and multi-layer geoanalytics enabled precision planting, better trait selection, consistent decision-making, and more efficient use of inputs (less fertilizer/pesticide), while governance and reusable workflows increased trust, reuse, and operational speed.

Bayer Crop Science

Michelle Lacy

Data Strategy Lead