Classifying the activity states of small vertebrates using automated VHF telemetry
J. Gottwald, R. Royaute, M. Becker, T. Geitz, J. Hoechst, P. Lampe, L. Leister, K. Lindner, J. Maier, S. Roesner, D. G. Schabo, B. Freisleben, T. Mueller, R. Brandl, N. Farwig, T. Nauss
This paper develops a random forest model to classify activity states of small vertebrates using VHF telemetry signals, achieving high accuracy across species.
bioRxiv · Mar 22, 2022Animal Behavior & Cognition