Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data Article Swipe
Said Benaissa
,
Frank Tuyttens
,
David Plets
,
Luc Martens
,
Leen Vandaele
,
Wout Joseph
,
Bart Sonck
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.animal.2023.100730
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.animal.2023.100730
Cattle behaviour is fundamentally linked to the cows' health, (re)production, and welfare. The aim of this study was to present an efficient method to incorporate Ultra-Wideband (UWB) indoor location and accelerometer data for improved cattle behaviour monitoring systems. In total, 30 dairy cows were fitted with UWB Pozyx wearable tracking tags (Pozyx, Ghent, Belgium) on the upper (dorsal) side of the cow's neck. In addition to the location data, the Pozyx tag reports accelerometer data as well. The combination of both sensor data was performed in two steps. In the first step, the actual time spent in the different barn areas was calculated using location data. In the second step, accelerometer data were used to classify cow behaviour using the location information of step 1 (e.g., a cow located in the cubicles cannot be classified as feeding, or drinking). A total of 156 hours of video recordings were used for the validation. For each hour of data, the total time each cow spent in each area and performing which behaviours (feeding, drinking, ruminating, resting, and eating concentrates) were computed using the sensors and compared against annotated video recordings. Bland-Altman plots for the correlation and difference between the sensors and the video recording were then computed for the performance analysis. The overall performance of locating the animals into the correct functional areas was very high. The R2 was 0.99 (P < 0.001), and the root-mean-square error (RMSE) was 1.4 min (7.5% of the total time). The best performance was obtained for the feeding and lying areas (R2 = 0.99, P < 0.001). Performance was lower in the drinking area (R2 = 0.90, P < 0.01) and the concentrate feeder (R2 = 0.85, P < 0.05). For the combined location + accelerometer data, high overall performance (all behaviours) was obtained with an R2 of 0.99 (P < 0.001) and a RMSE of 1.6 min (12% of the total time). The combination of location and accelerometer data improved the RMSE of the feeding time and ruminating time compared to the accelerometer data alone (2.6-1.4 min). Moreover, the combination of location and accelerometer enabled accurate classification of additional behaviours that are difficult to detect using the accelerometer alone, such as eating concentrates and drinking (R2 = 0.85 and 0.90, respectively). This study demonstrates the potential of combining accelerometer and UWB location data for the design of a robust monitoring system for dairy cattle.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.animal.2023.100730
- OA Status
- gold
- Cited By
- 29
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319868805
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4319868805Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.animal.2023.100730Digital Object Identifier
- Title
-
Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-10Full publication date if available
- Authors
-
Said Benaissa, Frank Tuyttens, David Plets, Luc Martens, Leen Vandaele, Wout Joseph, Bart SonckList of authors in order
- Landing page
-
https://doi.org/10.1016/j.animal.2023.100730Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.animal.2023.100730Direct OA link when available
- Concepts
-
Accelerometer, Wideband, Computer science, Engineering, Electronic engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
29Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 10, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4319868805 |
|---|---|
| doi | https://doi.org/10.1016/j.animal.2023.100730 |
| ids.doi | https://doi.org/10.1016/j.animal.2023.100730 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36868057 |
| ids.openalex | https://openalex.org/W4319868805 |
| fwci | 8.52500985 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D005260 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Female |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D002417 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Cattle |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D000818 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Animals |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D004435 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Eating |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D005247 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Feeding Behavior |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D001522 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Behavior, Animal |
| mesh[6].qualifier_ui | Q000662 |
| mesh[6].descriptor_ui | D008991 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | veterinary |
| mesh[6].descriptor_name | Monitoring, Physiologic |
| mesh[7].qualifier_ui | Q000379 |
| mesh[7].descriptor_ui | D008991 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | methods |
| mesh[7].descriptor_name | Monitoring, Physiologic |
| mesh[8].qualifier_ui | Q000662 |
| mesh[8].descriptor_ui | D061725 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | veterinary |
| mesh[8].descriptor_name | Accelerometry |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D007774 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Lactation |
| mesh[10].qualifier_ui | Q000379 |
| mesh[10].descriptor_ui | D003612 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | methods |
| mesh[10].descriptor_name | Dairying |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D005260 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Female |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D002417 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Cattle |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D000818 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Animals |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D004435 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Eating |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D005247 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Feeding Behavior |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D001522 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Behavior, Animal |
| mesh[17].qualifier_ui | Q000662 |
| mesh[17].descriptor_ui | D008991 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | veterinary |
| mesh[17].descriptor_name | Monitoring, Physiologic |
| mesh[18].qualifier_ui | Q000379 |
| mesh[18].descriptor_ui | D008991 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | methods |
| mesh[18].descriptor_name | Monitoring, Physiologic |
| mesh[19].qualifier_ui | Q000662 |
| mesh[19].descriptor_ui | D061725 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | veterinary |
| mesh[19].descriptor_name | Accelerometry |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D007774 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Lactation |
| mesh[21].qualifier_ui | Q000379 |
| mesh[21].descriptor_ui | D003612 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | methods |
| mesh[21].descriptor_name | Dairying |
| type | article |
| title | Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data |
| awards[0].id | https://openalex.org/G1233601647 |
| awards[0].funder_id | https://openalex.org/F4320321730 |
| awards[0].display_name | |
| awards[0].funder_award_id | 1274321N |
| awards[0].funder_display_name | Fonds Wetenschappelijk Onderzoek |
| biblio.issue | 4 |
| biblio.volume | 17 |
| biblio.last_page | 100730 |
| biblio.first_page | 100730 |
| topics[0].id | https://openalex.org/T12486 |
| topics[0].field.id | https://openalex.org/fields/11 |
| topics[0].field.display_name | Agricultural and Biological Sciences |
| topics[0].score | 0.9707000255584717 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1106 |
| topics[0].subfield.display_name | Food Science |
| topics[0].display_name | Food Supply Chain Traceability |
| topics[1].id | https://openalex.org/T11226 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.935699999332428 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1102 |
| topics[1].subfield.display_name | Agronomy and Crop Science |
| topics[1].display_name | Milk Quality and Mastitis in Dairy Cows |
| topics[2].id | https://openalex.org/T12365 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.925000011920929 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1103 |
| topics[2].subfield.display_name | Animal Science and Zoology |
| topics[2].display_name | Effects of Environmental Stressors on Livestock |
| funders[0].id | https://openalex.org/F4320321730 |
| funders[0].ror | https://ror.org/03qtxy027 |
| funders[0].display_name | Fonds Wetenschappelijk Onderzoek |
| is_xpac | False |
| apc_list.value | 1400 |
| apc_list.currency | USD |
| apc_list.value_usd | 1400 |
| apc_paid.value | 1400 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1400 |
| concepts[0].id | https://openalex.org/C89805583 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7622538805007935 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q192940 |
| concepts[0].display_name | Accelerometer |
| concepts[1].id | https://openalex.org/C2780202535 |
| concepts[1].level | 2 |
| concepts[1].score | 0.4140712022781372 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q4524457 |
| concepts[1].display_name | Wideband |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.400178998708725 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C127413603 |
| concepts[3].level | 0 |
| concepts[3].score | 0.1826634705066681 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[3].display_name | Engineering |
| concepts[4].id | https://openalex.org/C24326235 |
| concepts[4].level | 1 |
| concepts[4].score | 0.09839650988578796 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[4].display_name | Electronic engineering |
| concepts[5].id | https://openalex.org/C111919701 |
| concepts[5].level | 1 |
| concepts[5].score | 0.0 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[5].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/accelerometer |
| keywords[0].score | 0.7622538805007935 |
| keywords[0].display_name | Accelerometer |
| keywords[1].id | https://openalex.org/keywords/wideband |
| keywords[1].score | 0.4140712022781372 |
| keywords[1].display_name | Wideband |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.400178998708725 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/engineering |
| keywords[3].score | 0.1826634705066681 |
| keywords[3].display_name | Engineering |
| keywords[4].id | https://openalex.org/keywords/electronic-engineering |
| keywords[4].score | 0.09839650988578796 |
| keywords[4].display_name | Electronic engineering |
| language | en |
| locations[0].id | doi:10.1016/j.animal.2023.100730 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S66388299 |
| locations[0].source.issn | 1751-7311, 1751-732X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1751-7311 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | animal |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | animal |
| locations[0].landing_page_url | https://doi.org/10.1016/j.animal.2023.100730 |
| locations[1].id | pmid:36868057 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Animal : an international journal of animal bioscience |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36868057 |
| locations[2].id | pmh:oai:archive.ugent.be:01HCYTHQWSVFT1F1AAMHEG47JY |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400477 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Ghent University Academic Bibliography (Ghent University) |
| locations[2].source.host_organization | https://openalex.org/I32597200 |
| locations[2].source.host_organization_name | Ghent University |
| locations[2].source.host_organization_lineage | https://openalex.org/I32597200 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | publishedVersion |
| locations[2].raw_type | info:eu-repo/semantics/publishedVersion |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | True |
| locations[2].is_published | True |
| locations[2].raw_source_name | ISSN: 1751-732X |
| locations[2].landing_page_url | https://biblio.ugent.be/publication/01HCYTHQWSVFT1F1AAMHEG47JY |
| locations[3].id | pmh:oai:doaj.org/article:43da771d716047fead4cee8a8ba210b2 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Animal, Vol 17, Iss 4, Pp 100730- (2023) |
| locations[3].landing_page_url | https://doaj.org/article/43da771d716047fead4cee8a8ba210b2 |
| locations[4].id | pmh:oai:lirias2repo.kuleuven.be:20.500.12942/744408 |
| locations[4].is_oa | False |
| locations[4].source.id | https://openalex.org/S4306401954 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | Lirias (KU Leuven) |
| locations[4].source.host_organization | https://openalex.org/I99464096 |
| locations[4].source.host_organization_name | KU Leuven |
| locations[4].source.host_organization_lineage | https://openalex.org/I99464096 |
| locations[4].license | |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | info:eu-repo/semantics/article |
| locations[4].license_id | |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | |
| locations[4].landing_page_url | https://lirias.kuleuven.be/handle/20.500.12942/744408 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5011998721 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-7962-6900 |
| authorships[0].author.display_name | Said Benaissa |
| authorships[0].countries | BE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I2802017950 |
| authorships[0].affiliations[1].raw_affiliation_string | Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[0].institutions[0].id | https://openalex.org/I32597200 |
| authorships[0].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[0].institutions[0].country_code | BE |
| authorships[0].institutions[0].display_name | Ghent University |
| authorships[0].institutions[1].id | https://openalex.org/I2802017950 |
| authorships[0].institutions[1].ror | https://ror.org/03xrhmk39 |
| authorships[0].institutions[1].type | facility |
| authorships[0].institutions[1].lineage | https://openalex.org/I2802017950 |
| authorships[0].institutions[1].country_code | BE |
| authorships[0].institutions[1].display_name | Vlaams Instituut voor Biotechnologie |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | S. Benaissa |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[1].author.id | https://openalex.org/A5015349079 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1348-218X |
| authorships[1].author.display_name | Frank Tuyttens |
| authorships[1].countries | BE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Heidestraat 19, B-9820 Merelbeke, Belgium |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I2802017950 |
| authorships[1].affiliations[1].raw_affiliation_string | Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[1].institutions[0].id | https://openalex.org/I32597200 |
| authorships[1].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[1].institutions[0].country_code | BE |
| authorships[1].institutions[0].display_name | Ghent University |
| authorships[1].institutions[1].id | https://openalex.org/I2802017950 |
| authorships[1].institutions[1].ror | https://ror.org/03xrhmk39 |
| authorships[1].institutions[1].type | facility |
| authorships[1].institutions[1].lineage | https://openalex.org/I2802017950 |
| authorships[1].institutions[1].country_code | BE |
| authorships[1].institutions[1].display_name | Vlaams Instituut voor Biotechnologie |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | F.A.M. Tuyttens |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Heidestraat 19, B-9820 Merelbeke, Belgium, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[2].author.id | https://openalex.org/A5021128973 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-8879-5076 |
| authorships[2].author.display_name | David Plets |
| authorships[2].countries | BE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[2].institutions[0].id | https://openalex.org/I32597200 |
| authorships[2].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[2].institutions[0].country_code | BE |
| authorships[2].institutions[0].display_name | Ghent University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | D. Plets |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[3].author.id | https://openalex.org/A5064840310 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5208-5630 |
| authorships[3].author.display_name | Luc Martens |
| authorships[3].countries | BE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[3].institutions[0].id | https://openalex.org/I32597200 |
| authorships[3].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[3].institutions[0].country_code | BE |
| authorships[3].institutions[0].display_name | Ghent University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | L. Martens |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[4].author.id | https://openalex.org/A5037453409 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4563-6796 |
| authorships[4].author.display_name | Leen Vandaele |
| authorships[4].countries | BE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I2802017950 |
| authorships[4].affiliations[0].raw_affiliation_string | Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[4].institutions[0].id | https://openalex.org/I2802017950 |
| authorships[4].institutions[0].ror | https://ror.org/03xrhmk39 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I2802017950 |
| authorships[4].institutions[0].country_code | BE |
| authorships[4].institutions[0].display_name | Vlaams Instituut voor Biotechnologie |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | L. Vandaele |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[5].author.id | https://openalex.org/A5018341759 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8807-0673 |
| authorships[5].author.display_name | Wout Joseph |
| authorships[5].countries | BE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[5].institutions[0].id | https://openalex.org/I32597200 |
| authorships[5].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[5].institutions[0].country_code | BE |
| authorships[5].institutions[0].display_name | Ghent University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | W. Joseph |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Information Technology, Ghent University/imec, iGent-Technologiepark 126, 9052 Ghent, Belgium |
| authorships[6].author.id | https://openalex.org/A5047576820 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Bart Sonck |
| authorships[6].countries | BE |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I2802017950 |
| authorships[6].affiliations[0].raw_affiliation_string | Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I32597200 |
| authorships[6].affiliations[1].raw_affiliation_string | Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium |
| authorships[6].institutions[0].id | https://openalex.org/I32597200 |
| authorships[6].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[6].institutions[0].country_code | BE |
| authorships[6].institutions[0].display_name | Ghent University |
| authorships[6].institutions[1].id | https://openalex.org/I2802017950 |
| authorships[6].institutions[1].ror | https://ror.org/03xrhmk39 |
| authorships[6].institutions[1].type | facility |
| authorships[6].institutions[1].lineage | https://openalex.org/I2802017950 |
| authorships[6].institutions[1].country_code | BE |
| authorships[6].institutions[1].display_name | Vlaams Instituut voor Biotechnologie |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | B. Sonck |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Scheldeweg 68, 9090 Melle, Belgium |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.animal.2023.100730 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12486 |
| primary_topic.field.id | https://openalex.org/fields/11 |
| primary_topic.field.display_name | Agricultural and Biological Sciences |
| primary_topic.score | 0.9707000255584717 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1106 |
| primary_topic.subfield.display_name | Food Science |
| primary_topic.display_name | Food Supply Chain Traceability |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W2765080098, https://openalex.org/W2385749422, https://openalex.org/W2009888974, https://openalex.org/W2355290145, https://openalex.org/W2353465659, https://openalex.org/W3023105672, https://openalex.org/W2355539379, https://openalex.org/W4231410700, https://openalex.org/W4237770763 |
| cited_by_count | 29 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 13 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 10 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 6 |
| locations_count | 5 |
| best_oa_location.id | doi:10.1016/j.animal.2023.100730 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S66388299 |
| best_oa_location.source.issn | 1751-7311, 1751-732X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1751-7311 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | animal |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | animal |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.animal.2023.100730 |
| primary_location.id | doi:10.1016/j.animal.2023.100730 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S66388299 |
| primary_location.source.issn | 1751-7311, 1751-732X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1751-7311 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | animal |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | animal |
| primary_location.landing_page_url | https://doi.org/10.1016/j.animal.2023.100730 |
| publication_date | 2023-02-10 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3048506315, https://openalex.org/W2799530731, https://openalex.org/W2904355276, https://openalex.org/W2766036159, https://openalex.org/W2584559157, https://openalex.org/W2173431765, https://openalex.org/W4214707875, https://openalex.org/W3174284313, https://openalex.org/W2092214726, https://openalex.org/W4285020365, https://openalex.org/W1987244286, https://openalex.org/W6780422624, https://openalex.org/W621251951, https://openalex.org/W2074352562, https://openalex.org/W2052324859, https://openalex.org/W2052475076, https://openalex.org/W2897115032, https://openalex.org/W3166500454, https://openalex.org/W2081278415, https://openalex.org/W6747846274, https://openalex.org/W3217055699, https://openalex.org/W4291221487, https://openalex.org/W4292261945, https://openalex.org/W2015795623, https://openalex.org/W2744195175, https://openalex.org/W3186216132, https://openalex.org/W1427840352, https://openalex.org/W3176105870, https://openalex.org/W2760427723, https://openalex.org/W3170899713, https://openalex.org/W1967383372, https://openalex.org/W2007100676, https://openalex.org/W2964063875, https://openalex.org/W3081346341, https://openalex.org/W3165870449, https://openalex.org/W4200269548, https://openalex.org/W2181240839, https://openalex.org/W4205189207, https://openalex.org/W1985131608, https://openalex.org/W4290705294, https://openalex.org/W1974959819, https://openalex.org/W3014800292, https://openalex.org/W3098398783, https://openalex.org/W4293686330, https://openalex.org/W2890302620, https://openalex.org/W2566842982, https://openalex.org/W2902964854, https://openalex.org/W3036304933 |
| referenced_works_count | 48 |
| abstract_inverted_index.+ | 288 |
| abstract_inverted_index.1 | 124 |
| abstract_inverted_index.< | 229, 259, 272, 282, 304 |
| abstract_inverted_index.= | 256, 269, 279, 371 |
| abstract_inverted_index.A | 139 |
| abstract_inverted_index.P | 258, 271, 281 |
| abstract_inverted_index.a | 126, 307, 392 |
| abstract_inverted_index.(P | 228, 303 |
| abstract_inverted_index.30 | 40 |
| abstract_inverted_index.In | 38, 63, 88, 106 |
| abstract_inverted_index.an | 20, 299 |
| abstract_inverted_index.as | 75, 135, 365 |
| abstract_inverted_index.be | 133 |
| abstract_inverted_index.in | 85, 96, 129, 163, 264 |
| abstract_inverted_index.is | 2 |
| abstract_inverted_index.of | 14, 59, 79, 122, 141, 144, 155, 212, 240, 301, 309, 313, 319, 327, 345, 352, 381, 391 |
| abstract_inverted_index.on | 54 |
| abstract_inverted_index.or | 137 |
| abstract_inverted_index.to | 5, 18, 23, 65, 114, 335, 358 |
| abstract_inverted_index.1.4 | 237 |
| abstract_inverted_index.1.6 | 310 |
| abstract_inverted_index.156 | 142 |
| abstract_inverted_index.For | 152, 284 |
| abstract_inverted_index.The | 12, 77, 209, 224, 244, 317 |
| abstract_inverted_index.UWB | 46, 385 |
| abstract_inverted_index.aim | 13 |
| abstract_inverted_index.and | 10, 29, 166, 174, 182, 193, 198, 231, 252, 274, 306, 321, 331, 347, 368, 373, 384 |
| abstract_inverted_index.are | 356 |
| abstract_inverted_index.cow | 116, 127, 161 |
| abstract_inverted_index.for | 32, 149, 190, 205, 249, 388, 396 |
| abstract_inverted_index.min | 238, 311 |
| abstract_inverted_index.tag | 71 |
| abstract_inverted_index.the | 6, 55, 60, 66, 69, 89, 92, 97, 107, 119, 130, 150, 157, 180, 191, 196, 199, 206, 214, 217, 232, 241, 250, 265, 275, 285, 314, 325, 328, 336, 343, 361, 379, 389 |
| abstract_inverted_index.two | 86 |
| abstract_inverted_index.was | 17, 83, 101, 221, 226, 236, 247, 262, 296 |
| abstract_inverted_index.(12% | 312 |
| abstract_inverted_index.(all | 294 |
| abstract_inverted_index.0.85 | 372 |
| abstract_inverted_index.0.99 | 227, 302 |
| abstract_inverted_index.RMSE | 308, 326 |
| abstract_inverted_index.This | 376 |
| abstract_inverted_index.area | 165, 267 |
| abstract_inverted_index.barn | 99 |
| abstract_inverted_index.best | 245 |
| abstract_inverted_index.both | 80 |
| abstract_inverted_index.cows | 42 |
| abstract_inverted_index.data | 31, 74, 82, 111, 323, 338, 387 |
| abstract_inverted_index.each | 153, 160, 164 |
| abstract_inverted_index.high | 291 |
| abstract_inverted_index.hour | 154 |
| abstract_inverted_index.into | 216 |
| abstract_inverted_index.side | 58 |
| abstract_inverted_index.step | 123 |
| abstract_inverted_index.such | 364 |
| abstract_inverted_index.tags | 50 |
| abstract_inverted_index.that | 355 |
| abstract_inverted_index.then | 203 |
| abstract_inverted_index.this | 15 |
| abstract_inverted_index.time | 94, 159, 330, 333 |
| abstract_inverted_index.used | 113, 148 |
| abstract_inverted_index.very | 222 |
| abstract_inverted_index.were | 43, 112, 147, 177, 202 |
| abstract_inverted_index.with | 45, 298 |
| abstract_inverted_index.(7.5% | 239 |
| abstract_inverted_index.(UWB) | 26 |
| abstract_inverted_index.0.01) | 273 |
| abstract_inverted_index.0.85, | 280 |
| abstract_inverted_index.0.90, | 270, 374 |
| abstract_inverted_index.0.99, | 257 |
| abstract_inverted_index.Pozyx | 47, 70 |
| abstract_inverted_index.alone | 339 |
| abstract_inverted_index.areas | 100, 220, 254 |
| abstract_inverted_index.cow's | 61 |
| abstract_inverted_index.cows' | 7 |
| abstract_inverted_index.dairy | 41, 397 |
| abstract_inverted_index.data, | 68, 156, 290 |
| abstract_inverted_index.data. | 105 |
| abstract_inverted_index.error | 234 |
| abstract_inverted_index.first | 90 |
| abstract_inverted_index.high. | 223 |
| abstract_inverted_index.hours | 143 |
| abstract_inverted_index.lower | 263 |
| abstract_inverted_index.lying | 253 |
| abstract_inverted_index.min). | 341 |
| abstract_inverted_index.neck. | 62 |
| abstract_inverted_index.plots | 189 |
| abstract_inverted_index.spent | 95, 162 |
| abstract_inverted_index.step, | 91, 109 |
| abstract_inverted_index.study | 16, 377 |
| abstract_inverted_index.total | 140, 158, 242, 315 |
| abstract_inverted_index.upper | 56 |
| abstract_inverted_index.using | 103, 118, 179, 360 |
| abstract_inverted_index.video | 145, 186, 200 |
| abstract_inverted_index.well. | 76 |
| abstract_inverted_index.which | 168 |
| abstract_inverted_index.(RMSE) | 235 |
| abstract_inverted_index.(e.g., | 125 |
| abstract_inverted_index.0.001) | 305 |
| abstract_inverted_index.0.05). | 283 |
| abstract_inverted_index.Cattle | 0 |
| abstract_inverted_index.Ghent, | 52 |
| abstract_inverted_index.actual | 93 |
| abstract_inverted_index.alone, | 363 |
| abstract_inverted_index.cannot | 132 |
| abstract_inverted_index.cattle | 34 |
| abstract_inverted_index.design | 390 |
| abstract_inverted_index.detect | 359 |
| abstract_inverted_index.eating | 175, 366 |
| abstract_inverted_index.feeder | 277 |
| abstract_inverted_index.fitted | 44 |
| abstract_inverted_index.indoor | 27 |
| abstract_inverted_index.linked | 4 |
| abstract_inverted_index.method | 22 |
| abstract_inverted_index.robust | 393 |
| abstract_inverted_index.second | 108 |
| abstract_inverted_index.sensor | 81 |
| abstract_inverted_index.steps. | 87 |
| abstract_inverted_index.system | 395 |
| abstract_inverted_index.time). | 243, 316 |
| abstract_inverted_index.total, | 39 |
| abstract_inverted_index.(Pozyx, | 51 |
| abstract_inverted_index.0.001), | 230 |
| abstract_inverted_index.0.001). | 260 |
| abstract_inverted_index.against | 184 |
| abstract_inverted_index.animals | 215 |
| abstract_inverted_index.between | 195 |
| abstract_inverted_index.cattle. | 398 |
| abstract_inverted_index.correct | 218 |
| abstract_inverted_index.enabled | 349 |
| abstract_inverted_index.feeding | 251, 329 |
| abstract_inverted_index.health, | 8 |
| abstract_inverted_index.located | 128 |
| abstract_inverted_index.overall | 210, 292 |
| abstract_inverted_index.present | 19 |
| abstract_inverted_index.reports | 72 |
| abstract_inverted_index.sensors | 181, 197 |
| abstract_inverted_index.(2.6-1.4 | 340 |
| abstract_inverted_index.(dorsal) | 57 |
| abstract_inverted_index.Belgium) | 53 |
| abstract_inverted_index.accurate | 350 |
| abstract_inverted_index.addition | 64 |
| abstract_inverted_index.classify | 115 |
| abstract_inverted_index.combined | 286 |
| abstract_inverted_index.compared | 183, 334 |
| abstract_inverted_index.computed | 178, 204 |
| abstract_inverted_index.cubicles | 131 |
| abstract_inverted_index.drinking | 266, 369 |
| abstract_inverted_index.feeding, | 136 |
| abstract_inverted_index.improved | 33, 324 |
| abstract_inverted_index.locating | 213 |
| abstract_inverted_index.location | 28, 67, 104, 120, 287, 320, 346, 386 |
| abstract_inverted_index.obtained | 248, 297 |
| abstract_inverted_index.resting, | 173 |
| abstract_inverted_index.systems. | 37 |
| abstract_inverted_index.tracking | 49 |
| abstract_inverted_index.wearable | 48 |
| abstract_inverted_index.welfare. | 11 |
| abstract_inverted_index.(feeding, | 170 |
| abstract_inverted_index.Moreover, | 342 |
| abstract_inverted_index.analysis. | 208 |
| abstract_inverted_index.annotated | 185 |
| abstract_inverted_index.behaviour | 1, 35, 117 |
| abstract_inverted_index.combining | 382 |
| abstract_inverted_index.different | 98 |
| abstract_inverted_index.difficult | 357 |
| abstract_inverted_index.drinking, | 171 |
| abstract_inverted_index.efficient | 21 |
| abstract_inverted_index.performed | 84 |
| abstract_inverted_index.potential | 380 |
| abstract_inverted_index.recording | 201 |
| abstract_inverted_index.additional | 353 |
| abstract_inverted_index.behaviours | 169, 354 |
| abstract_inverted_index.calculated | 102 |
| abstract_inverted_index.classified | 134 |
| abstract_inverted_index.difference | 194 |
| abstract_inverted_index.drinking). | 138 |
| abstract_inverted_index.functional | 219 |
| abstract_inverted_index.monitoring | 36, 394 |
| abstract_inverted_index.performing | 167 |
| abstract_inverted_index.recordings | 146 |
| abstract_inverted_index.ruminating | 332 |
| abstract_inverted_index.Performance | 261 |
| abstract_inverted_index.behaviours) | 295 |
| abstract_inverted_index.combination | 78, 318, 344 |
| abstract_inverted_index.concentrate | 276 |
| abstract_inverted_index.correlation | 192 |
| abstract_inverted_index.incorporate | 24 |
| abstract_inverted_index.information | 121 |
| abstract_inverted_index.performance | 207, 211, 246, 293 |
| abstract_inverted_index.recordings. | 187 |
| abstract_inverted_index.ruminating, | 172 |
| abstract_inverted_index.validation. | 151 |
| abstract_inverted_index.Bland-Altman | 188 |
| abstract_inverted_index.concentrates | 367 |
| abstract_inverted_index.demonstrates | 378 |
| abstract_inverted_index.R<sup>2</sup> | 225, 300 |
| abstract_inverted_index.accelerometer | 30, 73, 110, 289, 322, 337, 348, 362, 383 |
| abstract_inverted_index.concentrates) | 176 |
| abstract_inverted_index.fundamentally | 3 |
| abstract_inverted_index.(R<sup>2</sup> | 255, 268, 278, 370 |
| abstract_inverted_index.Ultra-Wideband | 25 |
| abstract_inverted_index.classification | 351 |
| abstract_inverted_index.respectively). | 375 |
| abstract_inverted_index.(re)production, | 9 |
| abstract_inverted_index.root-mean-square | 233 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5011998721 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I2802017950, https://openalex.org/I32597200 |
| citation_normalized_percentile.value | 0.9693626 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |