BASF - Forecasting Analogue Years for Wine Varietals
 Open for Registration
  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Climate Change, Feature Engineering, Time Series Analysis, Weather Data
  • Tools: Climate Modeling, Data Exploration, Python, Time Series Data Analysis, Weather Forecasting
  • Citizenship: Open to all students
Summary

Create a 2024 forecast in the style of The Farmer’s Almanac that estimates the likeliest analog years. Key data elements include rainfall, temperature, and other agronomic factors like planting/harvest dates. Create a digital means for interacting with the platform.

Description

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

AY 2023 - 2024 Last updated: May 1, 2023, 3:53 p.m.