BASF - Forecasting Analogue Years for Corn and Soybeans
 Open for Registration
  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Agronomy, Climate Change, Clustering, Feature Engineering, Forecasting, Weather Data
  • Tools: Climate Modeling, Clustering Algorithms, Data Exploration, Data Integration, 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 (Corn & Soy)' in the Note section, and select the appropriate CRN.***

AY 2024 - 2025 Last updated: April 15, 2024, 3:35 p.m.