BASF - Digitizing / Forecasting Analogue Years for Corn & Soybeans
 Open for Registration
  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Analytics, Crops, Data Analytics, Forecasting, Predictive Analysis, Python, Statistics
  • Tools: Python, R, Statistical Modeling, Statistics
  • Citizenship: Open to all students
Summary

Create a 2024 forecast in the style of The Farmer’s Almanac that estimates: Likeliest analog years & outlook for top 2 row crops in the US: Corn & Soybeans. Create a digital means for interacting with the platform (i.e. why is 2021 like 1981; why 2024 will likely be like 1998).

Description

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

AY 2022 - 2023 Last updated: Dec. 9, 2022, 10:45 a.m.