Evidence map›Paper›PMID 39187979›Full record

ArticleJournal of animal science2024

Technical note: assessing GPS sensor accuracy using real-time kinematic device for livestock tracking.

Biquan Zhao, Rebecca L McDermott, Galen E Erickson, Yijie Xiong

Abstract read
In one paragraph

Article in Journal of animal science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Biquan ZhaoDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Rebecca L McDermottDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Galen E EricksonDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.ORCID 0000-0001-7673-9037
Yijie XiongDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.ORCID 0000-0003-2246-7448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The technical aspects of global positioning system (GPS) sensors have been improved substantially over the years, making them valuable and popular tools for livestock tracking. Using GPS sensors allows producers and researchers to locate grazing livestock, monitor their behavior and distribution, and gather referencing information about the health status of the animals and pastures. However, interpreting the behavior of grazing livestock, such as cattle, from GPS data can be difficult due to positioning inaccuracies. Without knowing the positioning accuracy range of GPS sensors, achieving high-level confidence in determining grazing densities and identifying abnormal livestock movement patterns is challenging. In this study, the positioning accuracy of 3 different types of commercial GPS sensors was assessed using a survey-grade real-time kinematics (RTK) device. We outlined the procedures and essential equations and compared the recorded locations from the GPS sensors with reference locations collected from the RTK device. The results demonstrated statistically significant differences (P < 0.05) in positioning accuracy between different types of GPS sensors. The circular error probable (CEP) at 95% probability levels (CEP95) of the 3 sensors ranged from 2.46 to 11.06 m. This accuracy varied among individual sensors within the same brand and across different brands, which underscores the importance of evaluating the positioning accuracy of GPS sensors in livestock tracking. This study provides significant insights for animal scientists, ecologists, and livestock producers engaged in GPS sensor-related research and practices.

Indexed as

Geographic Information SystemsAnimal HusbandryAnimalsBiomechanical PhenomenaCattleLivestockcattle trackingglobal positioning systemsgrazing managementpositioning accuracyprecision livestock management

Identifiers

PMID39187979
PMCPMC11450325

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.