• 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, Data Visualization, Genetics, Manufacturing, Optimization, Sustainability, Visualizations
  • Tools: Clustering Algorithms, Excel, Python, R, SQL, Statistics
  • Citizenship: Open to all students
Summary

Use data science to identify key factors affecting seed quality and germination with large historical datasets and statistical tools to impact business decisions. Factors include weather, field location, farming practices, harvest date, seed genetics/handling/age/shape and more.

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.***