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Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture
SLU Swedish University of Agricultural Sciences, Sweden.
Animal Welfare Sweden, Sweden.
SLU Swedish University of Agricultural Sciences, Sweden.
SLU Swedish University of Agricultural Sciences, Sweden.
Vise andre og tillknytning
2021 (engelsk)Inngår i: Animals, E-ISSN 2076-2615, Vol. 11, nr 3, artikkel-id 829Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The opportunities for natural animal behaviours in pastures imply animal welfare benefits. Nevertheless, monitoring the animals can be challenging. The use of sensors, cameras, positioning equipment and unmanned aerial vehicles in large pastures has the potential to improve animal welfare surveillance. Directly or indirectly, sensors measure environmental factors together with the behaviour and physiological state of the animal, and deviations can trigger alarms for, e.g., disease, heat stress and imminent calving. Electronic positioning includes Radio Frequency Identification (RFID) for the recording of animals at fixed points. Positioning units (GPS) mounted on collars can determine animal movements over large areas, determine their habitat and, somewhat, health and welfare. In combination with other sensors, such units can give information that helps to evaluate the welfare of free-ranging animals. Drones equipped with cameras can also locate and count the animals, as well as herd them. Digitally defined virtual fences can keep animals within a predefined area without the use of physical barriers, relying on acoustic signals and weak electric shocks. Due to individual variations in learning ability, some individuals may be exposed to numerous electric shocks, which might compromise their welfare. More research and development are required, especially regarding the use of drones and virtual fences. © 2021 by the authors.

sted, utgiver, år, opplag, sider
MDPI AG , 2021. Vol. 11, nr 3, artikkel-id 829
Emneord [en]
Animal welfare, Cattle, Monitoring, Precision livestock farming, Sensor, Sheep, Virtual fence
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-52627DOI: 10.3390/ani11030829Scopus ID: 2-s2.0-85102434037OAI: oai:DiVA.org:ri-52627DiVA, id: diva2:1539780
Merknad

Funding details: Sveriges Lantbruksuniversitet, SLU; Funding text 1: Researchers Charlotte Berg, Nils Fall, Helena Hansson, Magdalena Jacobson, Anna Jarmar, Linda J. Keeling, Christina Lunner Kolstrup, Lotta Rydhmer, Eva Sandberg, Margareta Steen and Helena Wall from the Scientific Council for Animal Welfare of the Swedish University of Agricultural Sciences helped with comments on the Swedish report that preceded this paper. The Swedish University of Agricultural Sciences provided the funding.

Tilgjengelig fra: 2021-03-25 Laget: 2021-03-25 Sist oppdatert: 2024-01-17bibliografisk kontrollert

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