Online Program Home
My Program

Abstract Details

Activity Number: 196 - SPEED: Biometrics and Biostatistics Part 2
Type: Contributed
Date/Time: Monday, July 29, 2019 : 11:35 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #307598
Title: Statistical Assessment of Bovine Body Weight via Functional Gait Data
Author(s): Andrew Raim* and Nagaraj Neerchal and Dan Tasch and Uri Tasch
Companies: US Census Bureau and University of Maryland, Baltimore County and Step Analysis LLC and Step Analysis LLC
Keywords: Longitudinal; Spectrum; Prediction; Multivariate

Body weight is an important indicator of milk yield, fertility, lameness, and overall health in dairy cows. It is beneficial to monitor herd members to ensure that they are not underweight, overweight, or experiencing unexpected changes in weight. Although body weight is an important measure for herd management, it is not commonly utilized by the dairy industry due to burdens and labor costs associated with traditional means of assessment. In this work, we consider an apparatus which measures forces and accelerations created by a cow's gait, and has been designed for convenient use in the daily routine of a commercial dairy farm. We explore the use of statistical methods to predict a cow's static scale weight using the multivariate functional data recorded when the cow walks through the machine.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program