Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
management practices and the health and welfare of livestock through monitoring individual …
Deep time-series clustering: A review
We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
[책][B] Measuring behaviour: an introductory guide
M Bateson, P Martin - 2021 - books.google.com
Measuring Behaviour is the established go-to text for anyone interested in scientific methods
for studying the behaviour of animals or humans. It is widely used by students, teachers and …
for studying the behaviour of animals or humans. It is widely used by students, teachers and …
Observing the unwatchable: Integrating automated sensing, naturalistic observations and animal social network analysis in the age of big data
JE Smith, N Pinter‐Wollman - Journal of Animal Ecology, 2021 - Wiley Online Library
In the 4.5 decades since Altmann (1974) published her seminal paper on the methods for
the observational study of behaviour, automated detection and analysis of social interaction …
the observational study of behaviour, automated detection and analysis of social interaction …
Challenges and solutions for studying collective animal behaviour in the wild
Mobile animal groups provide some of the most compelling examples of self-organization in
the natural world. While field observations of songbird flocks wheeling in the sky or anchovy …
the natural world. While field observations of songbird flocks wheeling in the sky or anchovy …
TimeCluster: dimension reduction applied to temporal data for visual analytics
There is a need for solutions which assist users to understand long time-series data by
observing its changes over time, finding repeated patterns, detecting outliers, and effectively …
observing its changes over time, finding repeated patterns, detecting outliers, and effectively …
Identification of behaviours from accelerometer data in a wild social primate
Background The use of accelerometers in bio-logging devices has proved to be a powerful
tool for the quantification of animal behaviour. While bio-logging techniques are being used …
tool for the quantification of animal behaviour. While bio-logging techniques are being used …
[HTML][HTML] Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms …
Development of a methodological framework for a robust prediction of the main behaviours of
dairy cows using a combination of machine learning algorithms on accelerometer data …
dairy cows using a combination of machine learning algorithms on accelerometer data …
Identification of animal movement patterns using tri-axial magnetometry
Background Accelerometers are powerful sensors in many bio-logging devices, and are
increasingly allowing researchers to investigate the performance, behaviour, energy …
increasingly allowing researchers to investigate the performance, behaviour, energy …
Patterns and drivers of vertical movements of the large fishes of the epipelagic
Large epipelagic fishes (> 30 kg maximum size) are known to display a variety of patterns of
vertical movement. Although advances in the affordability and sophistication of electronic …
vertical movement. Although advances in the affordability and sophistication of electronic …