Bayer - Climate Change
Open for Registration
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Agriculture
  • Keywords: Climate Change, Deep Learning, Environmental Data, Genomics
  • Tools: Climate Modeling, Genomic Prediction Techniques, Machine Learning, Python, R
  • Citizenship: Open to all students

Aggregate climate data to accompany to existing dataset, build prediction models to gain insights on climate impact on crop growth. Explore the suitability of different germplasms in different climate scenarios by utilizing genotypic, phenotypic, climate and environmental data.


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