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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 …
Evaluating contributions of recent tracking-based animal movement ecology to conservation management
The use of animal-born sensors for location-based tracking and bio-logging in terrestrial
systems has expanded dramatically in the past 10 years. This rapid expansion has …
systems has expanded dramatically in the past 10 years. This rapid expansion has …
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 …
[HTML][HTML] Classifying the posture and activity of ewes and lambs using accelerometers and machine learning on a commercial flock
Early decision making in commercial livestock systems is key to maximising animal welfare
and production. Detailed information on an animal's phenotype is needed to facilitate this …
and production. Detailed information on an animal's phenotype is needed to facilitate this …
[HTML][HTML] What are sheep doing? Tri-axial accelerometer sensor data identify the diel activity pattern of ewe lambs on pasture
Monitoring activity patterns of animals offers the opportunity to assess individual health and
welfare in support of precision livestock farming. The purpose of this study was to use a …
welfare in support of precision livestock farming. The purpose of this study was to use a …
Machine learning goes wild: Using data from captive individuals to infer wildlife behaviours
W Rast, SE Kimmig, L Giese, A Berger - PloS one, 2020 - journals.plos.org
1. Remotely tracking distinct behaviours of animals using acceleration data and machine
learning has been carried out successfully in several species in captive settings. In order to …
learning has been carried out successfully in several species in captive settings. In order to …
Assessing the effects of sampling frequency on behavioural classification of accelerometer data
Understanding the behaviours of free-ranging animals over biologically meaningful time
scales (eg, diel, tidal, lunar, seasonal, annual) gives unique insight into their ecology. Bio …
scales (eg, diel, tidal, lunar, seasonal, annual) gives unique insight into their ecology. Bio …
[HTML][HTML] Behavior classification and analysis of grazing sheep on pasture with different sward surface heights using machine learning
Simple Summary The monitoring and analysis of sheep behavior can reflect their welfare
and health, which is beneficial for grazing management. For automatic classification and the …
and health, which is beneficial for grazing management. For automatic classification and the …
Continuous on‐board behaviour classification using accelerometry: A case study with a new GPS‐3G‐Bluetooth system in Pacific black ducks
Over the past two decades, accelerometer (ACC) data have been increasingly used to study
animal behaviours and energetics. However, the large amount of raw ACC data can be a …
animal behaviours and energetics. However, the large amount of raw ACC data can be a …