Evaluation of Different Sensor Systems for Classifying the Behavior of Dairy Cows on Pasture.

ABSTRACT: Monitoring animal behavior using sensor technologies requires prior testing under varying conditions because behaviors can differ significantly, such as between grazing and confined cows. This study aimed to validate several sensor systems for classifying rumination and lying behaviors in cows on pasture under different environmental conditions, compare the sensors' performance at different time resolutions, and evaluate a correction algorithm for rumination data. Ten Simmental dairy cows were monitored on pasture, each simultaneously equipped with an ear-tag accelerometer (ET), two different leg-mounted accelerometers (LMs), and a noseband sensor (NB). Indirect visual observations using drone-recorded video footage served as the gold standard for validation. The concordance correlation co

SUBMITTER: Pichlbauer B 

PROVIDER: S-EPMC11644843 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature