Modelling reindeer rut activity using on‐animal acoustic recorders and machine learning

• Published in: Ecology and Evolution
• Main Authors: Boucher, Alexander J., Weladji, Robert B., Holand, Øystein, Kumpula, Jouko
• Other Authors: 4100110810, Luonnonvarakeskus
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley-Blackwell
• Subjects: convolutional neural network; machine learning; on-animal acoustic recorder; Rangifer tarandus; reindeer; rutting behaviour; Kaamanen
• Online Access: https://jukuri.luke.fi/handle/10024/555142; https://doi.org/10.1002/ece3.11479

For decades, researchers have employed sound to study the biology of wildlife, with the aim to better understand their ecology and behaviour. By utilizing on-animal recorders to capture audio from freely moving animals, scientists can decipher the vocalizations and glean insights into their behaviou...