Computer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concept

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dc.contributor.authorMassari, Juliana Maria
dc.contributor.authorde Moura, Daniella Jorge
dc.contributor.authorNääs, Irenilza de Alencar
dc.contributor.authorPereira, Danilo Florentino [UNESP]
dc.contributor.authorBranco, Tatiane
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Paulista
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T08:41:20Z
dc.date.available2022-04-29T08:41:20Z
dc.date.issued2022-04-01
dc.description.abstractComputer-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.en
dc.description.affiliationCollege of Agricultural Engineering State University of Campinas, 501 Candido Rondon Avenue, Campinas
dc.description.affiliationGraduate Program in Production Engineering Universidade Paulista, 1212 Dr. Bacelar Street,
dc.description.affiliationDepartment of Management Development and Technology School of Science and Engineering São Paulo State University, 780 Domingos da Costa Lopes Avenue, Tupã
dc.description.affiliationUnespDepartment of Management Development and Technology School of Science and Engineering São Paulo State University, 780 Domingos da Costa Lopes Avenue, Tupã
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 304085/2021-9
dc.description.sponsorshipIdCNPq: 308177/2021-7
dc.identifierhttp://dx.doi.org/10.3390/ani12070846
dc.identifier.citationAnimals, v. 12, n. 7, 2022.
dc.identifier.doi10.3390/ani12070846
dc.identifier.issn2076-2615
dc.identifier.scopus2-s2.0-85127168623
dc.identifier.urihttp://hdl.handle.net/11449/230639
dc.language.isoeng
dc.relation.ispartofAnimals
dc.sourceScopus
dc.subjectanimal behavior
dc.subjectanimal welfare
dc.subjectimage analysis
dc.subjectprecision livestock
dc.subjectwalking ability
dc.titleComputer-Vision-Based Indexes for Analyzing Broiler Response to Rearing Environment: A Proof of Concepten
dc.typeArtigo

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