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: 5560; or ComLdr 3537, or AnimSci/HCS 2260, or ENR 2000, or AEDEcon 2005 or equiv; or Sr or Grad standing; or permission of instructor.
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: 5560; or ComLdr 3537, or AnimSci/HCS 2260, or ENR 2000, or AEDEcon 2005 or equiv; or Sr or Grad standing; or permission of instructor.
