Evidence map›Paper›PMID 40362016›Full record

ArticleAnimals : an open access journal from MDPI2025

Analysis of Calving Cow Posture Recognition, Behavioral Changes, and Influencing Factors Based on Machine Vision.

Yuning An, Yifeng Song, Hehao Jiang, Yuan Wang, Na Liu, Xia Li, Zhalaga Zhang, Xiaoping An

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Yuning AnCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yifeng SongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Hehao JiangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yuan WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-9885-1572
Na LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-8863-9631
Xia LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Zhalaga ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Xiaoping AnCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

the project of Hohhot Science and Technology Innovation in the Field of My Talent 2022RC-Industry and Research Institute-4the project of the Inner Mongolia Autonomous Region's "Talents for the Development of Mongolia" Work Team 2025TYL10the project of the National Dairy Technology Innovation Center 2022-Scientific Research-2the project of the Special Project for First-Class Discipline Research of the Department of Education of Inner Mongolia Autonomous Region YLXKZX-NND-007
6 · The paper itself

Abstract

This study introduces a non-contact, single-target method for real-time monitoring of dairy cow calving posture and behavior using the YOLOv8 model. In total, 600 videos were collected, from which 10,544 image samples were extracted through frame-by-frame processing. Complete video recordings of 86 cows (30 primiparous and 56 multiparous) were utilized to investigate changes in calving behavior. The YOLOv8 model achieved excellent performance with precision (

Indexed as

behavioral analysiscalving dairy cowintelligent farm managementposture recognitionYOLOv8

Identifiers

PMID40362016
PMCPMC12070973

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.