Show Notes

In this episode Ed interviews Dr. Wade Webster of North Dakota State University. They discuss soybean white mold, disease forecasting models and the use of AI in agriculture. Additional Resources https://cropprotectionnetwork.org/crop-disease-forecasting Chapters 00:42 Introduction to Plant Pathology and White Mold Research 03:13 Diversity of Crops in North Dakota 05:40 Wade's Journey into Plant Pathology 08:32 Understanding White Mold and Its Impact 11:14 Management Strategies for White Mold 14:06 Predictive Modeling in Plant Pathology 16:33 Research on Soybean Varieties and Resistance 19:41 The Role of Machine Learning in Predictive Modeling 31:24 Understanding Data in Predictive Modeling 34:00 Ground Truthing and Data Collection Challenges 36:38 The Evolution of Machine Learning in Agriculture 39:19 Bottlenecks in Processing and User Experience 41:58 Farmer Engagement with Predictive Tools 43:59 The Role of Financial Stakeholders in Agriculture 46:40 Time Sensitivity in Predictive Modeling 51:53 Future Directions in Predictive Modeling 56:18 The Integration of Multiple Models 01:01:47 The Impact of Technology on Agriculture Zaworski, E. (Host) and Webster, R. (Interviewees). S5:E20 (Podcast). Cloudy with a Chance of Sclerotia: Disease Forecasting and White Mold. 10/21/2026. In I See Dead Plants. Crop Protection Network. Transcript