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Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring

In the field of precision livestock farming, many systems have been developed to identify the position of each cow of the herd individually in a specific environment. Challenges still exist in assessing the adequacy of the available systems to monitor individual animals in specific environments, and...

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Autores principales: D’Urso, Provvidenza Rita, Arcidiacono, Claudia, Pastell, Matti, Cascone, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223285/
https://www.ncbi.nlm.nih.gov/pubmed/37430784
http://dx.doi.org/10.3390/s23104873
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author D’Urso, Provvidenza Rita
Arcidiacono, Claudia
Pastell, Matti
Cascone, Giovanni
author_facet D’Urso, Provvidenza Rita
Arcidiacono, Claudia
Pastell, Matti
Cascone, Giovanni
author_sort D’Urso, Provvidenza Rita
collection PubMed
description In the field of precision livestock farming, many systems have been developed to identify the position of each cow of the herd individually in a specific environment. Challenges still exist in assessing the adequacy of the available systems to monitor individual animals in specific environments, and in the design of new systems. The main purpose of this research was to evaluate the performance of the SEWIO ultrawide-band (UWB) real time location system for the identification and localisation of cows during their activity in the barn through preliminary analyses in laboratory conditions. The objectives included the quantification of the errors performed by the system in laboratory conditions, and the assessment of the suitability of the system for real time monitoring of cows in dairy barns. The position of static and dynamic points was monitored in different experimental set-ups in the laboratory by the use of six anchors. Then, the errors related to a specific movement of the points were computed and statistical analyses were carried out. In detail, the one-way analysis of variance (ANOVA) was applied in order to assess the equality of the errors for each group of points in relation to their positions or typology, i.e., static or dynamic. In the post-hoc analysis, the errors were separated by Tukey’s honestly significant difference at p > 0.05. The results of the research quantify the errors related to a specific movement (i.e., static and dynamic points) and the position of the points (i.e., central area, perimeter of the investigated area). Based on the results, specific information is provided for the installation of the SEWIO in dairy barns as well as the monitoring of the animal behaviour in the resting area and the feeding area of the breeding environment. The SEWIO system could be a valuable support for farmers in herd management and for researchers in the analysis of animal behavioural activities.
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spelling pubmed-102232852023-05-28 Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring D’Urso, Provvidenza Rita Arcidiacono, Claudia Pastell, Matti Cascone, Giovanni Sensors (Basel) Article In the field of precision livestock farming, many systems have been developed to identify the position of each cow of the herd individually in a specific environment. Challenges still exist in assessing the adequacy of the available systems to monitor individual animals in specific environments, and in the design of new systems. The main purpose of this research was to evaluate the performance of the SEWIO ultrawide-band (UWB) real time location system for the identification and localisation of cows during their activity in the barn through preliminary analyses in laboratory conditions. The objectives included the quantification of the errors performed by the system in laboratory conditions, and the assessment of the suitability of the system for real time monitoring of cows in dairy barns. The position of static and dynamic points was monitored in different experimental set-ups in the laboratory by the use of six anchors. Then, the errors related to a specific movement of the points were computed and statistical analyses were carried out. In detail, the one-way analysis of variance (ANOVA) was applied in order to assess the equality of the errors for each group of points in relation to their positions or typology, i.e., static or dynamic. In the post-hoc analysis, the errors were separated by Tukey’s honestly significant difference at p > 0.05. The results of the research quantify the errors related to a specific movement (i.e., static and dynamic points) and the position of the points (i.e., central area, perimeter of the investigated area). Based on the results, specific information is provided for the installation of the SEWIO in dairy barns as well as the monitoring of the animal behaviour in the resting area and the feeding area of the breeding environment. The SEWIO system could be a valuable support for farmers in herd management and for researchers in the analysis of animal behavioural activities. MDPI 2023-05-18 /pmc/articles/PMC10223285/ /pubmed/37430784 http://dx.doi.org/10.3390/s23104873 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
D’Urso, Provvidenza Rita
Arcidiacono, Claudia
Pastell, Matti
Cascone, Giovanni
Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title_full Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title_fullStr Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title_full_unstemmed Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title_short Assessment of a UWB Real Time Location System for Dairy Cows’ Monitoring
title_sort assessment of a uwb real time location system for dairy cows’ monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223285/
https://www.ncbi.nlm.nih.gov/pubmed/37430784
http://dx.doi.org/10.3390/s23104873
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