SDSU Beef Day 2020 Summary Publication
Document Type
Other
Publication Date
6-2020
Keywords
accelerometers, GPS, livestock grazing
Abstract
The ability to remotely track livestock through the use of GPS technology has tremendous potential to study livestock use patterns on the landscape. The use of high frequency accelerometers may give researchers and managers the ability to accurately partition GPS points into differing behaviors, giving further insight into livestock grazing selection, pasture use, and changes in forage preference through time. The objectives of this study were to 1) develop a classification algorithm to discriminate between graze and non-graze behaviors using a combination of metrics derived from a high frequency accelerometer motion sensor and a GPS data logger and 2) assess the accuracy of the classification algorithm using model error rates and expectant livestock behavior patterns.
Publisher
South Dakota State University
Rights
Copyright © 2020 the Authors
Recommended Citation
Brennan, Jameson; Olson, Ken; Johnson, Patricia; Block, Janna; and Schauer, Chris, "Classifying Livestock Grazing Behavior with the Use of a Low Cost GPS and Accelerometer" (2020). SDSU Beef Day 2020 Summary Publication. 23.
https://openprairie.sdstate.edu/sd_beefday_2020/23