Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/ani12070846 http://hdl.handle.net/11449/230639 |
Resumo: | Computer-vision systems for herd detection and monitoring are increasingly present in precision livestock. This technology provides insights into how environmental variations affect the group’s movement pattern. We hypothesize that the cluster and unrest indexes based on computer vision (CV) can simultaneously assess the movement variation of reared broilers under different environmental conditions. The present study is a proof of principle and was carried out with twenty broilers (commercial strain Cobb®), housed in a controlled-environment chamber. The birds were divided into two groups, one housed in an enriched environment and the control. Both groups were subjected to thermal comfort conditions and heat stress. Image analysis of individual or group behavior is the basis for generating animal-monitoring indexes, capable of creating real-time alert systems, predicting welfare, health, environment, and production status. The results obtained in the experiment in a controlled environment allowed the validation of the simultaneous application of cluster and unrest indexes by monitoring the movement of the group of broilers under different environmental conditions. Observational results also suggest that research in more significant pro-portions should be carried out to evaluate the potential positive impact of environmental enrichment in poultry production. The complexity of the environment is a factor to be considered in creating alert systems for detecting heat stress in broiler production. In large groups, birds’ movement and grouping patterns may differ; therefore, the CV system and indices will need to be recalibrated. |
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Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Conceptanimal behavioranimal welfareimage analysisprecision livestockwalking abilityComputer-vision systems for herd detection and monitoring are increasingly present in precision livestock. This technology provides insights into how environmental variations affect the group’s movement pattern. We hypothesize that the cluster and unrest indexes based on computer vision (CV) can simultaneously assess the movement variation of reared broilers under different environmental conditions. The present study is a proof of principle and was carried out with twenty broilers (commercial strain Cobb®), housed in a controlled-environment chamber. The birds were divided into two groups, one housed in an enriched environment and the control. Both groups were subjected to thermal comfort conditions and heat stress. Image analysis of individual or group behavior is the basis for generating animal-monitoring indexes, capable of creating real-time alert systems, predicting welfare, health, environment, and production status. The results obtained in the experiment in a controlled environment allowed the validation of the simultaneous application of cluster and unrest indexes by monitoring the movement of the group of broilers under different environmental conditions. Observational results also suggest that research in more significant pro-portions should be carried out to evaluate the potential positive impact of environmental enrichment in poultry production. The complexity of the environment is a factor to be considered in creating alert systems for detecting heat stress in broiler production. In large groups, birds’ movement and grouping patterns may differ; therefore, the CV system and indices will need to be recalibrated.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)College of Agricultural Engineering State University of Campinas, 501 Candido Rondon Avenue, CampinasGraduate Program in Production Engineering Universidade Paulista, 1212 Dr. Bacelar Street,Department of Management Development and Technology School of Science and Engineering São Paulo State University, 780 Domingos da Costa Lopes Avenue, TupãDepartment of Management Development and Technology School of Science and Engineering São Paulo State University, 780 Domingos da Costa Lopes Avenue, TupãCNPq: 304085/2021-9CNPq: 308177/2021-7Universidade Estadual de Campinas (UNICAMP)Universidade PaulistaUniversidade Estadual Paulista (UNESP)Massari, Juliana Mariade Moura, Daniella JorgeNääs, Irenilza de AlencarPereira, Danilo Florentino [UNESP]Branco, Tatiane2022-04-29T08:41:20Z2022-04-29T08:41:20Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ani12070846Animals, v. 12, n. 7, 2022.2076-2615http://hdl.handle.net/11449/23063910.3390/ani120708462-s2.0-85127168623Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnimalsinfo:eu-repo/semantics/openAccess2024-06-10T14:48:57Zoai:repositorio.unesp.br:11449/230639Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:46:38.917153Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
title |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
spellingShingle |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept Massari, Juliana Maria animal behavior animal welfare image analysis precision livestock walking ability |
title_short |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
title_full |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
title_fullStr |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
title_full_unstemmed |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
title_sort |
Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept |
author |
Massari, Juliana Maria |
author_facet |
Massari, Juliana Maria de Moura, Daniella Jorge Nääs, Irenilza de Alencar Pereira, Danilo Florentino [UNESP] Branco, Tatiane |
author_role |
author |
author2 |
de Moura, Daniella Jorge Nääs, Irenilza de Alencar Pereira, Danilo Florentino [UNESP] Branco, Tatiane |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Paulista Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Massari, Juliana Maria de Moura, Daniella Jorge Nääs, Irenilza de Alencar Pereira, Danilo Florentino [UNESP] Branco, Tatiane |
dc.subject.por.fl_str_mv |
animal behavior animal welfare image analysis precision livestock walking ability |
topic |
animal behavior animal welfare image analysis precision livestock walking ability |
description |
Computer-vision systems for herd detection and monitoring are increasingly present in precision livestock. This technology provides insights into how environmental variations affect the group’s movement pattern. We hypothesize that the cluster and unrest indexes based on computer vision (CV) can simultaneously assess the movement variation of reared broilers under different environmental conditions. The present study is a proof of principle and was carried out with twenty broilers (commercial strain Cobb®), housed in a controlled-environment chamber. The birds were divided into two groups, one housed in an enriched environment and the control. Both groups were subjected to thermal comfort conditions and heat stress. Image analysis of individual or group behavior is the basis for generating animal-monitoring indexes, capable of creating real-time alert systems, predicting welfare, health, environment, and production status. The results obtained in the experiment in a controlled environment allowed the validation of the simultaneous application of cluster and unrest indexes by monitoring the movement of the group of broilers under different environmental conditions. Observational results also suggest that research in more significant pro-portions should be carried out to evaluate the potential positive impact of environmental enrichment in poultry production. The complexity of the environment is a factor to be considered in creating alert systems for detecting heat stress in broiler production. In large groups, birds’ movement and grouping patterns may differ; therefore, the CV system and indices will need to be recalibrated. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:41:20Z 2022-04-29T08:41:20Z 2022-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/ani12070846 Animals, v. 12, n. 7, 2022. 2076-2615 http://hdl.handle.net/11449/230639 10.3390/ani12070846 2-s2.0-85127168623 |
url |
http://dx.doi.org/10.3390/ani12070846 http://hdl.handle.net/11449/230639 |
identifier_str_mv |
Animals, v. 12, n. 7, 2022. 2076-2615 10.3390/ani12070846 2-s2.0-85127168623 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Animals |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128275291045888 |