In this episode Ed interviews Dr. José González-Acuña, recent Ph.D. graduate at Iowa State University. They discuss José's Thesis work on frogeye leaf spot and efforts to expand the ever growing library of plant disease predictive models.
Additional Resources
https://www.nature.com/articles/s41598-026-46975-z#Sec14
https://journals.ashs.org/view/journals/horttech/27/5/article-p710.xml
https://cropprotectionnetwork.org/news/new-crop-risk-tool-enhances-disease-management-decisions
Time Stamps
00:00 Understanding Machine Learning Models
03:23 Choosing the Right Model for the Project
06:13 Metrics for Model Evaluation
08:48 Challenges in Data Collection and Standardization
11:38 Insights on Frog Eye Leaf Spot Modeling
13:44 Future Directions and Improvements
17:40 Understanding Weather Data's Role in Disease Modeling
19:42 Data Collection and Analysis for Disease Severity
21:29 Introduction to Decision Support Systems (DSS)
22:27 The Importance of Decision Support in Agriculture
24:09 Future of Predictive Modeling and Decision Support Systems
28:44 The Role of Farmers in Utilizing Predictive Models
32:14 Economic Benefits of Decision Support Systems
34:29 Elevator Pitch: Explaining Predictive Modeling to the Public
37:58 outro with logo.mp4
Zaworski, E. (Host) and González-Acuña, J. (Interviewee). S5:E8 (Podcast). Frog Eye-PM: Predictive Modeling Part 2. 5/20/2026. In I See Dead Plants. Crop Protection Network.
