Bayer - Prediction of Climate Change Impact on Crops
 Closed for Registration
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Climate Change, Deep Learning, Genomics, Plant Breeding
  • Tools: Genomic Prediction Techniques, Machine Learning, Python, R
  • Citizenship: Open to all students
Summary

Within Plant Breeding at Bayer Crop Science, we want to explore the suitability of different germplasms in different climate scenarios by utilizing genotypic, phenotypic, climate and environmental data.

Description

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

AY 2022 - 2023 Last updated: Aug. 5, 2022, 7:28 a.m.