Evidence map›Paper›PMID 35405837›Full record

ArticleAnimals : an open access journal from MDPI2022

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

Juliana Maria Massari, Daniella Jorge de Moura, Irenilza de Alencar Nääs, Danilo Florentino Pereira, Tatiane Branco

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Artificial intelligence in precision poultry farming: opportunities, challenges, and future features.Animal frontiers : the review magazine of animal agriculture · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Juliana Maria MassariCollege of Agricultural Engineering, State University of Campinas, 501 Candido Rondon Avenue, Campinas, São Paulo 13083-875, Brazil.
Daniella Jorge de MouraCollege of Agricultural Engineering, State University of Campinas, 501 Candido Rondon Avenue, Campinas, São Paulo 13083-875, Brazil.ORCID 0000-0003-4655-8934
Irenilza de Alencar NääsGraduate Program in Production Engineering, Universidade Paulista, 1212 Dr. Bacelar Street, São Paulo 04026-002, Brazil.ORCID 0000-0003-0663-9377
Danilo Florentino PereiraDepartment of Management, Development and Technology, School of Science and Engineering, São Paulo State University, 780 Domingos da Costa Lopes Avenue, Tupã, São Paulo 17602-496, Brazil.ORCID 0000-0003-4602-8837
Tatiane BrancoCollege of Agricultural Engineering, State University of Campinas, 501 Candido Rondon Avenue, Campinas, São Paulo 13083-875, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

animal behavioranimal welfareimage analysisprecision livestockwalking ability

Identifiers

PMID35405837
PMCPMC8996930

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.