Evidence map›Paper›PMID 34573631›Full record

ArticleAnimals : an open access journal from MDPI2021

Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap.

Santosh Pandey, Upender Kalwa, Taejoon Kong, Baoqing Guo, Phillip C Gauger, David J Peters, Kyoung-Jin Yoon

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  6. Sustainability and future outlook of the Philippine pig industry.Journal of advanced veterinary and animal research · 2025
    Article
  7. Review
  8. Article
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  10. Review
  11. GCNTrack: A Pig-Tracking Method Based on Skeleton Feature Similarity.Animals : an open access journal from MDPI · 2025
    Article
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  14. Article
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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 2 institutions in 2 countries.

Santosh PandeyDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-4577-8567
Upender KalwaDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Taejoon KongCenter for Defense Acquisition and Requirements Analysis, Korea Institute for Defense Analyses, 37 Hoegi-ro, Dongdaemun-gu, Seoul 02455, Korea.
Baoqing GuoDepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA.
Phillip C GaugerDepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-2540-8769
David J PetersRural Sociology, Department of Sociology and Criminal Justice, Iowa State University, Ames, IA 50011, USA.
Kyoung-Jin YoonDepartment of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-3969-7285
Iowa State University · USDefense Acquisition Program Administration · KR

Funding

National Science Foundation IDBR-1556370U.S. Department of Agriculture 2020-67021-31964
6 · The paper itself

Abstract

Precision swine production can benefit from autonomous, noninvasive, and affordable devices that conduct frequent checks on the well-being status of pigs. Here, we present a remote monitoring tool for the objective measurement of some behavioral indicators that may help in assessing the health and welfare status-namely, posture, gait, vocalization, and external temperature. The multiparameter electronic sensor board is characterized by laboratory measurements and by animal tests. Relevant behavioral health indicators are discussed for implementing machine learning algorithms and decision support tools to detect animal lameness, lethargy, pain, injury, and distress. The roadmap for technology adoption is also discussed, along with challenges and the path forward. The presented technology can potentially lead to efficient management of farm animals, targeted focus on sick animals, medical cost savings, and less use of antibiotics.

Indexed as

behavioral monitoringear tag pig sensormachine intelligenceprecision swine farmingtechnology adoption

Identifiers

PMID34573631
PMCPMC8466302
OpenAlexW3200760371

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.