Abstract Machine learning and sensor devices lined up with agriculture for the development
of systems can efficiently provide real-time knowledge on animal behavior without the need …

Animal activity recognition is an important topic that facilitates understanding of animal
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …

Precision farming technology, including GPS collars with biologging, has revolutionized
remote livestock monitoring in extensive grazing systems. High resolution accelerometry can …

Automated monitoring of the movements and behaviour of animals is a valuable research
tool. Recently, machine learning tools were applied to many species to classify units of …

Animal-borne tagging (bio-logging) generates large and complex datasets. In particular,
accelerometer tags, which provide information on behaviour and energy expenditure of wild …

Background Quantifying foraging success in space and time and among individuals is
essential for answering many ecological questions and may guide conservation efforts …

Background Biologgers have contributed greatly to studies of animal movement, behaviours
and physiology. Accelerometers, among the various on-board sensors of biologgers, have …

Background Monitoring the behavior of wild animals in situ can improve our understanding
of how their behavior is related to their habitat and affected by disturbances and changes in …

Background Studies on animal behaviour often involve the quantification of the occurrence
and duration of various activities. When direct observations are challenging (eg, at night, in a …

Observing animals in the wild often poses extreme challenges, but animal‐borne
accelerometers are increasingly revealing unobservable behaviours. Automated machine …