A new method to measure behavioural activity levels in dairy cows

By R. Müller, L. Schrader. 2003

151 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/7c922bc1b8c8f0486383e9852ccfdc3c97c80d3d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Animal Science and Zoology

1. Stefan Siebert
2. M. Moreau
3. E. Riva
4. Frank André Maurice Tuyttens
5. Gabriele Mattachini
6. Andreas Buerkert
7. G. Provolo
8. E. Schlecht

In Genetics

1. Stefan Siebert
2. M. Moreau
3. E. Riva
4. Gabriele Mattachini
5. Andreas Buerkert
6. G. Provolo
7. E. Schlecht

In Small Animals

1. Stefan Siebert
2. M. Moreau
3. E. Riva
4. Frank André Maurice Tuyttens
5. Gabriele Mattachini
6. Andreas Buerkert
7. G. Provolo
8. E. Schlecht

Citations in the corpus

• Use of a tri-axial accelerometer for automated recording and classification of goats' grazing behaviour (2009, methodology): “…4; Yoda et al., 2001) or explorative calculation of eshold values for accelerometers (Müller and Schrader, per animal and sometimes even per day (Müller and Schrader, 2003; Van Oort et al., 2004), our setup limits the need for human observation of animals and visual inspection of data to the…”
• Automated measurement of lying behavior for monitoring the comfort and welfare of lactating dairy cows (2013, methodology): “However, in preliminary studies using these devices the influence of the device placement was not significant, and the application of the device to the rear leg minimized any small differences (Müller and Schrader, 2003).”
• Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines (2009, methodology): “Various sensor systems have been reported for automatic measuring of animal behaviour (e.g. Scheibe et al., 1998; DeVries et al., 2003; Müller and Schrader, 2003; Schlecht et al., 2004; Cangar et al., 2008; Cornou and LundbyeChristensen, 2008; Nadimi et al., 2008; O’Driscoll et al., 2008).”
• Classification of ingestive-related cow behaviours using RumiWatch halter and neck-mounted accelerometers (2019, background): “In particular, wearable accelerometers and noseband halters have been widely tested to automatically assess cow behaviours (Martiskainen et al., 2009a; Müller and Schrader, 2003; Robert et al., 2009; Vázquez Diosdado et al., 2015).”