Bayer - Yield Prediction through ML
Closed for Registration
  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Deep Learning, Environmental Data, Genomics, Plant Genomics
  • Tools: Genomic Prediction Techniques, Machine Learning, Python, R
  • Citizenship: Open to all students
Summary

Student will use genomic data and environmental data with deep architectures or other newer methods to understand plant response as a function of the genomic and environmental variables and build models that can capture the interactions between them.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Bayer (Yield Prediction)' in the Note section, and select the appropriate CRN.