Evidence map›Paper›PMID 38136794›Full record

ReviewAnimals : an open access journal from MDPI2023

Rumination Detection in Sheep: A Systematic Review of Sensor-Based Approaches.

Stephanie Janet Schneidewind, Mohamed Rabih Al Merestani, Sven Schmidt, Tanja Schmidt, Christa Thöne-Reineke, Mechthild Wiegard

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A Review of the Monitoring Techniques Used to Detect Oestrus in Sows.Animals : an open access journal from MDPI · 2025
    Review
  5. Article
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

6 authors at 3 institutions in 1 country.

Stephanie Janet SchneidewindInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, Freie Universität Berlin, 14163 Berlin, Germany.
Mohamed Rabih Al MerestaniDepartment of Biosystems Engineering, Albrecht Daniel Thaer Institute for Agriculture, Humboldt University of Berlin, 10117 Berlin, Germany.
Sven SchmidtBITSz Electronics GmbH, 08060 Zwickau, Germany.
Tanja SchmidtNuvisan ICB GmbH, 13353 Berlin, Germany.
Christa Thöne-ReinekeInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, Freie Universität Berlin, 14163 Berlin, Germany.ORCID 0000-0003-0782-2755
Mechthild WiegardInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, Freie Universität Berlin, 14163 Berlin, Germany.ORCID 0000-0002-1934-9187
Freie Universität Berlin · DEHumboldt-Universität zu Berlin · DENuvisan (Germany) · DE

Funding

Federal Ministry for Economic Affairs and Climate Action 16KN077302
6 · The paper itself

Abstract

The use of sensors to analyze behavior in sheep has gained increasing attention in scientific research. This systematic review aims to provide an overview of the sensors developed and used to detect rumination behavior in sheep in scientific research. Moreover, this overview provides details of the sensors that are currently commercially available and describes their suitability for sheep based on the information provided in the literature found. Furthermore, this overview lists the best sensor performances in terms of achieved accuracy, sensitivity, precision, and specificity in rumination detection, detailing, when applicable, the sensor position and epoch settings that were used to achieve the best results. Challenges and areas for future research and development are also identified. A search strategy was implemented in the databases PubMed, Web of Science, and Livivo, yielding a total of 935 articles. After reviewing the summaries of 57 articles remaining following filtration (exclusion) of repeated and unsuitable articles, 17 articles fully met the pre-established criteria (peer-reviewed; published between 2012 and 2023 in English or German; with a particular focus on sensors detecting rumination in sheep) and were included in this review. The guidelines outlined in the PRISMA 2020 methodology were followed. The results indicate that sensor-based systems have been utilized to monitor and analyze rumination behavior, among other behaviors. Notably, none of the sensors identified in this review were specifically designed for sheep. In order to meet the specific needs of sheep, a customized sensor solution is necessary. Additionally, further investigation of the optimal sensor position and epoch settings is necessary. Implications: The utilization of such sensors has significant implications for improving sheep welfare and enhancing our knowledge of their behavior in various contexts.

Indexed as

accelerometeranimal welfareOvis ariesrefinementruminationsensorsmall ruminants

Identifiers

PMID38136794
PMCPMC10740880
OpenAlexW4389336281

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.