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Interpolation metho...
Interpolation methods to improve data quality of indoor positioning data for dairy cattle
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- Ren, Keni, 1983- (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
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- Alam, Moudud, 1976- (författare)
- Högskolan Dalarna,Statistik
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- Peetz Nielsen, Per (författare)
- RISE,Jordbruk och livsmedel,Department of Agriculture and Food, RISE Research Institutes of Sweden (RISE), Lund, Sweden
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- Gussmann, Maya (författare)
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
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- Rönnegård, Lars (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Högskolan Dalarna,Statistik,Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden,Institutionen för husdjursgenetik (HGEN),Dalarna University
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(creator_code:org_t)
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- 2022-05-24
- 2022
- Engelska.
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Ingår i: Frontiers in Animal Science. - : Frontiers Media S.A.. - 2673-6225. ; 3
- Relaterad länk:
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Position data from real-time indoor positioning systems are increasingly used for studying individual cow behavior and social behavior in dairy herds. However, missing data challenges achieving reliable continuous activity monitoring and behavior studies. This study investigates the pattern of missing data and alternative interpolation methods in ultra-wideband based real-time indoor positioning systems in a free-stall barn. We collected 3 months of position data from a Swedish farm with around 200 cows. Data sampled for 6 days from 69 cows were used in subsequent analyzes to determine the location and duration of missing data. Data from 20 cows with the most reliable tags were selected to compare the effects of four different interpolation methods (previous, linear interpolation, cubic spline data interpolation and modified Akima interpolation). By comparing the observed data with the interpolations of the simulated missing data, the mean error distance varied from around 55 cm, using the previously last observed position, to around 17 cm for modified Akima. Modified Akima interpolation has the lowest error distance for all investigated activities (rest, walking, standing, feeding). Larger error distances were found in areas where the cows walk and turn, such as the corner between feeding and cubicles. Modified Akima interpolation is expected to be useful in the subsequent analyses of data gathered using real-time indoor positioning systems.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies (hsv//eng)
- LANTBRUKSVETENSKAPER -- Annan lantbruksvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Other Agricultural Sciences (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences (hsv//eng)
- LANTBRUKSVETENSKAPER -- Husdjursvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Animal and Dairy Sience (hsv//eng)
- LANTBRUKSVETENSKAPER -- Husdjursvetenskap -- Husdjursvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Animal and Dairy Sience -- Animal and Dairy Science. (hsv//eng)
Nyckelord
- ultra-wideband
- dairy cow
- indoor positioning
- data interpolation
- precision livestock farming
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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