Evidence map›Paper›PMID 40941265›Full record

ArticleAnimals : an open access journal from MDPI2025

Feature Extraction and Automatic Recognition Model Construction for Head Back Posture During the Parturition Process in Dairy Cows.

Xia Li, Yifeng Song, Xiaoping An, Zhalaga, Yuning An, Yuan Wang, Na Liu, Jiaxu Gu, Jingwei Qi

Abstract read
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. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xia LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yifeng SongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Xiaoping AnCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
ZhalagaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yuning AnCollege 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
Jiaxu GuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Jingwei QiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

Inner Mongolia Education Department Special Research Project For First Class Disciplines YLXKZX-NND-007National Center of Technology Innovation for Dairy Program 2022-scientific research-2, 2023-JSGG-4Project for Technological Innovating Talent of Hohhot 2022RC-research center-4
6 · The paper itself

Abstract

The 'head back' posture is a pronounced and significant behavioral trait during bovine parturition, commonly interpreted as a natural response to the pain associated with parturition. Leveraging computer vision technology for real-time monitoring of parturition behaviors can provide timely assistance during calving and enhance animal welfare. This study initially evaluated the head back posture in cows of different types, finding that primiparous cows and those delivering calves weighing over 43 kg exhibited prolonged durations of both labor and head back posture. A model was developed using the YOLOv8 algorithm with 25,617 images to recognize and classify changes in head posture during parturition, including positions like lying with or without head back. The model demonstrated robust predictive performance with a precision (

Indexed as

computer visiondairy cowsparturition processYOLOv8

Identifiers

PMID40941265
PMCPMC12427298

What OpenQuestion holds

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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.