Deep transfer learning in sheep activity recognition using accelerometer data
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 …
of systems can efficiently provide real-time knowledge on animal behavior without the need …
A survey of machine learning approaches in animal behaviour
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 …
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …
Accelerometer sampling requirements for animal behaviour classification and estimation of energy expenditure
Background Biologgers have contributed greatly to studies of animal movement, behaviours
and physiology. Accelerometers, among the various on-board sensors of biologgers, have …
and physiology. Accelerometers, among the various on-board sensors of biologgers, have …
Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures
B Ferdinandy, L Gerencsér, L Corrieri, P Perez… - PloS one, 2020 - journals.plos.org
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 …
tool. Recently, machine learning tools were applied to many species to classify units of …
The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets
Animal-borne tagging (bio-logging) generates large and complex datasets. In particular,
accelerometer tags, which provide information on behaviour and energy expenditure of wild …
accelerometer tags, which provide information on behaviour and energy expenditure of wild …
Evaluating the constraints governing activity patterns of a coastal marine top predator
How animals partition activity throughout the day is influenced by processes that affect
supply and obtainability of resources. However, as resource supply and usability are often …
supply and obtainability of resources. However, as resource supply and usability are often …
Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars
E Versluijs, LJ Niccolai, M Spedener… - Frontiers in Animal …, 2023 - frontiersin.org
Precision farming technology, including GPS collars with biologging, has revolutionized
remote livestock monitoring in extensive grazing systems. High resolution accelerometry can …
remote livestock monitoring in extensive grazing systems. High resolution accelerometry can …
Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm
TM Kirchner, O Devineau, M Chimienti… - Animal …, 2023 - Springer
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 …
of how their behavior is related to their habitat and affected by disturbances and changes in …
Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids
Background Animal-attached devices can be used on cryptic species to measure their
movement and behaviour, enabling unprecedented insights into fundamental aspects of …
movement and behaviour, enabling unprecedented insights into fundamental aspects of …
Animal-borne acoustic data alone can provide high accuracy classification of activity budgets
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 …
and duration of various activities. When direct observations are challenging (eg, at night, in a …