Evidence map›Paper›PMID 32059554›Full record

ArticleAnimals : an open access journal from MDPI2020

Automated Collection and Analysis of Infrared Thermograms for Measuring Eye and Cheek Temperatures in Calves.

Gemma Lowe, Brendan McCane, Mhairi Sutherland, Joe Waas, Allan Schaefer, Neil Cox, Mairi Stewart

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  9. Occupational Safety and Health with Technological Developments in Livestock Farms: A Literature Review.International journal of environmental research and public health · 2022
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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

7 authors at 3 institutions in 1 country.

Gemma LoweInterAg, Ruakura Research Centre, Hamilton 3214, New Zealand.
Brendan McCaneDepartment of Computer Science, University of Otago, Dunedin 9016, New Zealand.
Mhairi SutherlandAgResearch Ltd., Ruakura Research Centre, Hamilton 3214, New Zealand.
Joe WaasSchool of Science, The University of Waikato, Hamilton 3216, New Zealand.
Allan SchaeferAnimal Inframetrics, Box 5451, Lacombe, AB T4L 1X2, Canada.
Neil CoxNeilStat Ltd., 9 Ngaere Ave, Hamilton 3210, New Zealand.
Mairi StewartInterAg, Ruakura Research Centre, Hamilton 3214, New Zealand.
AgResearch · NZUniversity of Otago · NZUniversity of Waikato · NZ

Funding

DEC International NZ, Hamilton, New Zealand and by Callaghan Innovation Ltd, Wellington, New Zealand 000
6 · The paper itself

Abstract

As the reliance upon automated systems in the livestock industry increases, technologies need to be developed which can be incorporated into these systems to monitor animal health and welfare. Infrared thermography (IRT) is one such technology that has been used for monitoring animal health and welfare and, through automation, has the potential to be integrated into automated systems on-farm. This study reports on an automated system for collecting thermal infrared images of calves and on the development and validation of an algorithm capable of automatically detecting and analysing the eye and cheek regions from those images. Thermal infrared images were collected using an infrared camera integrated into an automated calf feeder. Images were analysed automatically using an algorithm developed to determine the maximum eye and cheek (3 × 3-pixel and 9 × 9-pixel areas) temperatures in a given image. Additionally, the algorithm determined the maximum temperature of the entire image (image maximum temperature). In order to validate the algorithm, a subset of 350 images analysed using the algorithm were also analysed manually. Images analysed using the algorithm were highly correlated with manually analysed images for maximum image (R

Indexed as

algorithm validationautomated systemscalvesearly disease detectionInfrared thermography

Identifiers

PMID32059554
PMCPMC7070973
OpenAlexW3006189469

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.