Inference of Animal Activity From GPS Collar Data on Free-Ranging Cattle

By E. Ungar, Z. Henkin, M. Gutman, A. Dolev, A. Genizi, D. Ganskopp. 2005

208 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/012a1fc644b7f9cef8850e674af8a2ba4ed330bb

How researchers see this paper

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

In Ecology

1. D. Bohnert
2. Andreas Buerkert

In Genetics

1. Stefan Siebert
2. M. Moreau
3. Andreas Buerkert
4. E. Schlecht

In Small Animals

1. Stefan Siebert
2. M. Moreau
3. Andreas Buerkert
4. E. Schlecht

Citations in the corpus

• Use of a tri-axial accelerometer for automated recording and classification of goats' grazing behaviour (2009, background): “Tests of some of the devices showed their usefulness for behaviour studies in ruminants (Ungar et al., 2005).”
• Landscape nutritional patterns and cattle distribution in rangeland pastures (2009, methodology): “Mean position error with uncorrected records is about 2.74 0.25 m, while differential-correction reduces mean error to 2.09 0.09 m (Ungar et al., 2005).”