James Swanson, Chief Information Officer, Head of Digital Transformation
Bayer’s crop science division, the company’s agricultural arm, sought to improve the efficacy of seed performance and aimed to achieve its goal using a data-driven approach
Bayer uses artificial intelligence and machine-learning-based predictive models for a variety of initiatives, such as determining seed performance, screening the positive effect of microbes on the productivity of seed and plant growth, identifying products with enhanced-taste profiles, and determining the needs of farmers.
The artificial-intelligence-based approach has enabled Bayer to track and plan seed movement in 300,000+ seed shipments each year, ensuring timely delivery and reducing the company’s carbon dioxide output by 8%. The implementation of analytics-driven strategies, including smart equipment, have also has also helped farmers determine optimal times for harvesting.