Evidence map›Paper›PMID 37627427›Full record

ArticleAnimals : an open access journal from MDPI2023

Spatio-Temporal-Based Identification of Aggressive Behavior in Group Sheep.

Yalei Xu, Jing Nie, Honglei Cen, Baoqin Wen, Shuangyin Liu, Jingbin Li, Jianbing Ge, Longhui Yu, Yuhai Pu, Kangle Song and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Recognition of Foal Nursing Behavior Based on an Improved RT-DETR Model.Animals : an open access journal from MDPI · 2025
    Article
  3. Article
  4. An Image Detection Model for Aggressive Behavior of Group Sheep.Animals : an open access journal from MDPI · 2023
    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

12 authors at 1 institution in 1 country.

Yalei XuCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.ORCID 0000-0002-8609-0558
Jing NieCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.ORCID 0000-0002-3763-9559
Honglei CenCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Baoqin WenCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Shuangyin LiuCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Jingbin LiCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Jianbing GeCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Longhui YuCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.ORCID 0000-0003-4736-4752
Yuhai PuCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Kangle SongCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Zichen LiuCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Qiang CaiCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.
Shihezi University · CN

Funding

National Natural Science Foundation of China 61871475Shihezi University CGZH202103Shihezi University CXFZ202103Zhongkai University of Agriculture and Engineering 202103000033, 201903010043Zhongkai University of Agriculture and Engineering KA190578826
6 · The paper itself

Abstract

In order to solve the problems of low efficiency and subjectivity of manual observation in the process of group-sheep-aggression detection, we propose a video streaming-based model for detecting aggressive behavior in group sheep. In the experiment, we collected videos of the sheep's daily routine and videos of the aggressive behavior of sheep in the sheep pen. Using the open-source software LabelImg, we labeled the data with bounding boxes. Firstly, the YOLOv5 detects all sheep in each frame of the video and outputs the coordinates information. Secondly, we sort the sheep's coordinates using a sheep tracking heuristic proposed in this paper. Finally, the sorted data are fed into an LSTM framework to predict the occurrence of aggression. To optimize the model's parameters, we analyze the confidence, batch size and skipping frame. The best-performing model from our experiments has 93.38% Precision and 91.86% Recall. Additionally, we compare our video streaming-based model with image-based models for detecting aggression in group sheep. In sheep aggression, the video stream detection model can solve the false detection phenomenon caused by head impact feature occlusion of aggressive sheep in the image detection model.

Indexed as

aggression recognitiondeep learninglong short-term memoryYOLOv5

Identifiers

PMID37627427
PMCPMC10451720
OpenAlexW4385840266

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.