Evidence map›Paper›PMID 41514761›Full record

ArticleAnimals : an open access journal from MDPI2025

A Novel Method for Estimating the Body Weight and Size of Sows Using 3D Point Cloud.

Hong Zhou, Qiuju Xie, Wenfeng Wang, Jiaming Gu, Honggui Liu, Bin Li, Shuaijun Wu, Fang Zheng

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. Article
  2. 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

8 authors.

Hong ZhouCollege of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
Qiuju XieCollege of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
Wenfeng WangCollege of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
Jiaming GuCollege of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
Honggui LiuCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0002-0376-3623
Bin LiIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0001-5122-5515
Shuaijun WuCollege of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
Fang ZhengKey Laboratory of Smart Farming Technology for Agricultural Animals, Ministry of Agriculture and Rural Affairs, Wuhan 430000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body weight and size are critical indicators of sow health and reproductive performance. Traditional manual measurement methods are not only time-consuming and labor-intensive but also induce stress in sows. To address these limitations, we propose an innovative method for estimating sow body weight and size using 3D point cloud data. Our method began by obtaining point cloud data from depth images captured by an Intel

Indexed as

DbmoNetdeep learningnon-contact measurementpoint cloud segmentationprecision livestock farming

Identifiers

PMID41514761
PMCPMC12784878

What OpenQuestion holds

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LicenceCC BY
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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.