• Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Agronomy, Plant Disease Management, Plant Pathology
  • Tools: Data Exploration, Data Integration, Machine Learning, MATLAB, Python
  • Citizenship: Open to all students
Summary

Create a robust model based on 26 years of published field trials to optimize disease control recommendations for turfgrass managers and compare the output with assessments made by experts in the field.

Description

**Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Mathwork/Purdue Turf- Test Stand' in the Note section, and select the appropriate CRN.***