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A IBM Case Study
DSM-firmenich Animal Nutrition & Health needed a better way to identify, predict, and manage mycotoxin contamination in grains and animal-feed ingredients, since fungal toxins can damage crop quality, animal health, and food safety. The company turned to IBM and IBM Environmental Intelligence Suite to improve proactive risk management with more reliable weather and forecasting insights.
IBM helped DSM-firmenich build mycotoxin prediction models using global hourly weather data, long-range forecasts, geospatial analytics, and API-based intelligence from 61,000 locations worldwide. The solution enabled real-time prediction and prevention, more targeted monitoring and mitigation, and location-specific recommendations; IBM cites that this approach can help reduce crop losses by millions of euros per year and support safer, more sustainable food and feed production.
Barbara Novak
Scientist