AGSYSMT 5580
An overview of the principles of data management and analytics in support of field crop production. Lecture topics include: data generation and collection methods, and modeling, actionable spatial and temporal management recommendations at the sub-field level. Laboratory exercises include: broad overview and introduction to R, and its use in common data analyses in production agriculture.
Prereq: 3580 or 4580, and ComLdr 3537 or AnimSci 2260 or HCS 2260 or ENR 2000 or AEDEcon 2005; or Grad Standing; or permission of instructor.
Course Level:
Graduate
Undergraduate
Unit(s):
3.0
Semesters Offered:
Autumn 2023
Instruction Modes:
In Person
Campuses:
Columbus
Course Subject: