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Measuring Machine Productivity Using Modern Data Collection System
TSM 416 Technology Capstone Projects
  • Taylor Ciha, Iowa State University
  • Adam Flinn, Iowa State University
  • Johnny Hogan, Iowa State University
  • Drew Loneman, Iowa State University
  • Katelyn Vargas, Iowa State University
  • Joseph R. Vanstrom, Iowa State University
  • Jacek A. Koziel, Iowa State University
Publication Date
4-28-2017
Course Number and Title
TSM 416: Technology Capstone
Department
Agricultural and Biosystems Engineering
Major
Agricultural Systems Technology (Ciha, Flinn, Hogan, Loneman, Vargas)
Instructors
Joseph R. Vanstrom and Jacek A. Koziel
Problem Statement
Agricultural manufacturers of all sizes are not able to consistently measure productivity and efficiencies of machines to make effective comparisons between one make and model or multiple makes and models using current data collection systems. This is due to an unchanged metric system that current technology in agriculture uses to measure the productivity. This way doesn’t measure non-productive time effectively.
Citation Information
Taylor Ciha, Adam Flinn, Johnny Hogan, Drew Loneman, Katelyn Vargas, Joseph R. Vanstrom and Jacek A. Koziel. Measuring Machine Productivity Using Modern Data Collection System. Final Report. TSM 416 Technology Capstone Project, April 28, 2017.