Evidence map›Paper›PMID 33915906›Full record

ArticleSensors (Basel, Switzerland)2021

Non-Invasive Cattle Body Temperature Measurement Using Infrared Thermography and Auxiliary Sensors.

Fu-Kang Wang, Ju-Yin Shih, Pin-Hsun Juan, Ya-Chi Su, Yu-Chieh Wang

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

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

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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 1 institution in 1 country.

Fu-Kang WangDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.ORCID 0000-0001-6652-5641
Ju-Yin ShihDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Pin-Hsun JuanDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Ya-Chi SuDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Yu-Chieh WangDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
National Sun Yat-sen University · TW

Funding

Ministry of Science and Technology, Taiwan 109-2221-E-110-056-MY3
6 · The paper itself

Abstract

To achieve a sensitive and accurate method in body temperature measurement of cattle, this study explores the uses of infrared thermography (IRT), an anemometer, and a humiture meter as a multiple sensors architecture. The influence of environmental factors on IRT, such as wind speed, ambient temperature, and humidity, was considered. The proposed signal processes removed the IRT frames affected by air flow, and also eliminated the IRT frames affected by random body movement of cattle using the frame difference method. In addition, the proposed calibration method reduced the impact of ambient temperature and humidity on IRT results, thereby increasing the accuracy of IRT temperature. The difference of mean value and standard deviation value between recorded rectal reference temperature and IRT temperature were 0.04 °C and 0.10 °C, respectively, and the proposed system substantially improved the measurement consistency of the IRT temperature and reference on cattle body temperature. Moreover, with a relatively small IRT image sensor, the combination of multiple sensors architecture and proper data processing still achieved good temperature accuracy. The result of the root-mean-square error (RMSE) was 0.74 °C, which is quite close to the accurate result of the IRT measurement.

Indexed as

Body TemperatureThermographyAnimalsCattleHumidityInfrared RaysTemperatureWindcore body temperatureenvironmental factorsinfrared thermography (IRT)multiple sensors architecturenoninvasive

Identifiers

PMID33915906
PMCPMC8037298
OpenAlexW3148499404

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.