AgricultureMachine LearningDigital Twins & SimulationLarge Language ModelsPredictive Analytics
Bayer uses generative AI and machine learning to speed crop breeding and agronomy
Bayer
Bayer uses AI and data science across its agriculture business. Its precision breeding platform, combining machine learning and digital twin technology, has cut a breeding cycle from five to six years down to four months. Bayer trained a large language model called E.L.Y. on internal agronomy data to answer farm management questions, and uses AI models to guide planting density and irrigation decisions on its own seed-production fields, increasing field productivity by over 30%; it also offers AI-powered seed scripts and planting-density recommendations to growers through its FieldView digital farming platform, which manages more than 220 million acres in over 20 countries.
