Evidence map›Paper›PMID 37048404›Full record

ReviewAnimals : an open access journal from MDPI2023

Literature Review on Technological Applications to Monitor and Evaluate Calves' Health and Welfare.

Flávio G Silva, Cristina Conceição, Alfredo M F Pereira, Joaquim L Cerqueira, Severiano R Silva

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  10. Digital Twins in Agriculture and Forestry: A Review.Sensors (Basel, Switzerland) · 2024
    Review
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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 at 3 institutions in 1 country.

Flávio G SilvaVeterinary and Animal Research Centre (CECAV), Associate Laboratory of Animal and Veterinary Science (AL4AnimalS), University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal.ORCID 0000-0003-4218-498X
Cristina ConceiçãoMediterranean Institute for Agriculture, Environment and Development (MED), Universidade de Évora Pólo da Mitra, Apartado, 94, 7006-554 Évora, Portugal.
Alfredo M F PereiraMediterranean Institute for Agriculture, Environment and Development (MED), Universidade de Évora Pólo da Mitra, Apartado, 94, 7006-554 Évora, Portugal.ORCID 0000-0001-9430-9399
Joaquim L CerqueiraVeterinary and Animal Research Centre (CECAV), Associate Laboratory of Animal and Veterinary Science (AL4AnimalS), Escola Superior Agrária do Instituto Politécnico de Viana do Castelo, Rua D. Mendo Afonso, 147, 4990-706 Ponte de Lima, Portugal.ORCID 0000-0003-0022-2749
Severiano R SilvaVeterinary and Animal Research Centre (CECAV), Associate Laboratory of Animal and Veterinary Science (AL4AnimalS), University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal.ORCID 0000-0002-7045-2075
University of Évora · PTUniversity of Trás-os-Montes and Alto Douro · PTPolytechnic Institute of Viana do Castelo · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision livestock farming (PLF) research is rapidly increasing and has improved farmers' quality of life, animal welfare, and production efficiency. PLF research in dairy calves is still relatively recent but has grown in the last few years. Automatic milk feeding systems (AMFS) and 3D accelerometers have been the most extensively used technologies in dairy calves. However, other technologies have been emerging in dairy calves' research, such as infrared thermography (IRT), 3D cameras, ruminal bolus, and sound analysis systems, which have not been properly validated and reviewed in the scientific literature. Thus, with this review, we aimed to analyse the state-of-the-art of technological applications in calves, focusing on dairy calves. Most of the research is focused on technology to detect and predict calves' health problems and monitor pain indicators. Feeding and lying behaviours have sometimes been associated with health and welfare levels. However, a consensus opinion is still unclear since other factors, such as milk allowance, can affect these behaviours differently. Research that employed a multi-technology approach showed better results than research focusing on only a single technique. Integrating and automating different technologies with machine learning algorithms can offer more scientific knowledge and potentially help the farmers improve calves' health, performance, and welfare, if commercial applications are available, which, from the authors' knowledge, are not at the moment.

Indexed as

3D cameraaccelerometerautomatic milk feedingGPShearth rate monitorinfrared thermographymachine learningmanagementpartial-weight scaleprecision livestock farmingruminal bolusruminationsound analysis

Identifiers

PMID37048404
PMCPMC10093142
OpenAlexW4360850974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.