Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Daylong acoustic recordings of grazing and rumination activities in dairy cows
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i), FICH-UNL/CONICET, Santa Fe, Argentina.
Show others and affiliations
2023 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 10, no 1, article id 782Article in journal (Refereed) Published
Abstract [en]

Monitoring livestock feeding behavior may help assess animal welfare and nutritional status, and to optimize pasture management. The need for continuous and sustained monitoring requires the use of automatic techniques based on the acquisition and analysis of sensor data. This work describes an open dataset of acoustic recordings of the foraging behavior of dairy cows. The dataset includes 708 h of daily records obtained using unobtrusive and non-invasive instrumentation mounted on five lactating multiparous Holstein cows continuously monitored for six non-consecutive days in pasture and barn. Labeled recordings precisely delimiting grazing and rumination bouts are provided for a total of 392 h and for over 6,200 ingestive and rumination jaw movements. Companion information on the audio recording quality and expert-generated labels is also provided to facilitate data interpretation and analysis. This comprehensive dataset is a useful resource for studies aimed at exploring new tools and solutions for precision livestock farming. 

Place, publisher, year, edition, pages
Springer Nature , 2023. Vol. 10, no 1, article id 782
National Category
Animal and Dairy Science
Identifiers
URN: urn:nbn:se:miun:diva-49848DOI: 10.1038/s41597-023-02673-3ISI: 001102051000006PubMedID: 37938260Scopus ID: 2-s2.0-85176018004OAI: oai:DiVA.org:miun-49848DiVA, id: diva2:1811820
Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2023-12-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Martinez Rau, Luciano S.

Search in DiVA

By author/editor
Martinez Rau, Luciano S.
By organisation
Department of Computer and Electrical Engineering (2023-)
In the same journal
Scientific Data
Animal and Dairy Science

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 29 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf