North Dakota Weather Network's Early Disease Alerts Reduce Soybean Losses

NDAWN's real-time white mold risk maps cut soybean yield losses in North Dakota by detecting disease early.

North Dakota Agricultural Weather Network (NDAWN) published its first White Mold Risk Maps during the 2025 growing season using commercial soybean field observations across North Dakota. This system helps farmers detect white mold disease—which cost North Dakota soybean growers over $60 million in yield losses—earlier than traditional methods. NDAWN’s 250 weather stations provide high-resolution soil and weather data, enabling localized risk mapping. The network also operates the only real-time inversion alert system for low-level temperature inversions in the U.S., though this claim requires regional verification.

The maps work by analyzing field-level data to predict disease outbreaks before they spread widely. This early detection prevents significant yield losses in vulnerable soybean regions, directly supporting food security for communities dependent on local agriculture. For farmers in North Dakota, the system reduces financial risk from crop disease without requiring new equipment or extensive training.

This approach moves food security by making critical disease monitoring cheaper and more accessible for small-scale growers. If scaled to other regions, it could reduce crop loss costs for vulnerable populations. However, the system’s impact is currently limited to North Dakota fields, and its 'only real-time' status needs independent confirmation across the U.S. Next steps include validating the model’s effectiveness in adjacent states and expanding data collection to broader agricultural zones.

Source: Phys.org