• Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, biology, Genetics, G X E, seed
  • Tools: Excel, Python, R, SQL
  • Citizenship: Open to all students
Summary

Use data science to identify the impact of corn kernel depth on field performance. You will analyze phenotypic traits like yield, moisture, yield/moisture ratio, test weight, and kernel trait.

Description

***Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Beck's Hybrids' in the Note section, and select the appropriate CRN.***