Evidence map›Paper›PMID 34063974›Full record

ArticleSensors (Basel, Switzerland)2021

Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm.

Hung-Wei Liu, Chia-Hung Chen, Yao-Chuan Tsai, Kuang-Wen Hsieh, Hao-Ting Lin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Deep Learning Methods for Tracking the Locomotion of Individual Chickens.Animals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Welfare of broilers on farm.EFSA journal. European Food Safety Authority · 2023
    Article
  15. An Advanced Chicken Face Detection Network Based on GAN and MAE.Animals : an open access journal from MDPI · 2022
    Article
  16. 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

5 authors.

Hung-Wei LiuDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan.
Chia-Hung ChenDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan.ORCID 0000-0002-6453-9801
Yao-Chuan TsaiDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan.ORCID 0000-0003-2992-8614
Kuang-Wen HsiehDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan.
Hao-Ting LinDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan.ORCID 0000-0001-5615-5691

Funding

Council of Agriculture 109 AS-11.2.9-AD-U1
6 · The paper itself

Abstract

The chicken industry, in which broiler chickens are bred, is the largest poultry industry in Taiwan. In a traditional poultry house, breeders must usually observe the health of the broilers in person on the basis of their breeding experience at regular times every day. When a breeder finds unhealthy broilers, they are removed manually from the poultry house to prevent viruses from spreading in the poultry house. Therefore, in this study, we designed and constructed a novel small removal system for dead chickens for Taiwanese poultry houses. In the mechanical design, this system mainly contains walking, removal, and storage parts. It comprises robotic arms with a fixed end and sweep-in devices for sweeping dead chickens, a conveyor belt for transporting chickens, a storage cache for storing chickens, and a tracked vehicle. The designed system has dimensions of approximately 1.038 × 0.36 × 0.5 m

Indexed as

ChickensDeep LearningAnimalsArtificial IntelligenceHumansPoultryTaiwanbroilerdead chickenpoultry houseremoval systemYOLO v4

Identifiers

PMID34063974
PMCPMC8196783

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.