Evidence map›Paper›PMID 42450659›Full record

ArticleAnimals : an open access journal from MDPI2026

Pig Passage Counting Based on Improved YOLO and HMTC Strategy.

Lu Yang, Saisai Wu, Shuqing Han, Xin Chai, Yali Wang, Hongyu Zhang, Guodong Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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

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

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

7 authors.

Lu YangAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Saisai WuGuangxi Academy of Agricultural Sciences, Nanning 530007, China.
Shuqing HanAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xin ChaiAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yali WangAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Hongyu ZhangAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Guodong ChengAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Funding

Agricultural Information Institute JBYW-AII-2026-71Beijing Smart Agriculture Innovation Consortium BAIC10-2026-E15Chinese Academy of Agricultural Sciences CAAS-ASTIP-2026-AIIChinese Academy of Agricultural Sciences CAAS-CSSAE-202402
6 · The paper itself

Abstract

Accurate pig counting during herd transfers is fundamental to effective livestock management in large-scale swine production, yet existing methods struggle with bidirectional passages, boundary oscillations, and occlusion in real corridor environments. This study proposes an integrated system combining an improved YOLO-based detection model with a Hysteresis-based Multi-frame Temporal Confirmation Counting Strategy (HMTC). The YOLO11s baseline was enhanced using lightweight RepViT blocks, dynamic upsampling (DySample), and shape-aware bounding box regression (Shape-IoU). The resulting model achieves a mAP

Indexed as

livestock managementobject detectionpig countingYOLOv11

Identifiers

PMID42450659
PMCPMC13359846

What OpenQuestion holds

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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.