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Mar 25, 2026
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AGRON 960 - Predictive Modeling for Plant Breeding Credits: 3
Introduction to machine learning methods applied to agriculture and plant breeding including core concepts in predictive modeling and best practices for reproducible computational research. Conceptual understanding of methods and hands-on practice with real datasets are emphasized.
Note
3 hours lecture per week
Recommended Foundation Courses: AGRON 845, STAT 706, and STAT 705 or STAT 713
Repeat for Credit
N
Typically Offered
Spring-Odd Years
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