Evidence map›Paper›PMID 36616713›Full record

ArticleSensors (Basel, Switzerland)2022

A Multi-Flow Production Line for Sorting of Eggs Using Image Processing.

Fatih Akkoyun, Adem Ozcelik, Ibrahim Arpaci, Ali Erçetin, Sinan Gucluer

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Adaptive infrared patterns for microscopic surface reconstructions.International journal of computer assisted radiology and surgery · 2024
    Article
  2. Article
  3. 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.

Fatih AkkoyunDepartment of Mechanical and Metal Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon 61300, Turkey.ORCID 0000-0002-1432-8926
Adem OzcelikDepartment of Mechanical Engineering, Faculty of Engineering, Aydın Adnan Menderes University, Aydin 09010, Turkey.ORCID 0000-0002-3124-795X
Ibrahim ArpaciDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylul University, Bandırma 10200, Turkey.ORCID 0000-0001-6513-4569
Ali ErçetinDepartment of Naval Architecture and Marine Engineering, Faculty of Maritime, Bandırma Onyedi Eylul University, Bandırma 10200, Turkey.ORCID 0000-0002-7631-1361
Sinan GucluerDepartment of Mechanical Engineering, Faculty of Engineering, Aydın Adnan Menderes University, Aydin 09010, Turkey.ORCID 0000-0001-7110-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In egg production facilities, the classification of eggs is carried out either manually or by using sophisticated systems such as load cells. However, there is a need for the classification of eggs to be carried out with faster and cheaper methods. In the agri-food industry, the use of image processing technology is continuously increasing due to the data processing speed and cost-effective solutions. In this study, an image processing approach was used to classify chicken eggs on an industrial roller conveyor line in real-time. A color camera was used to acquire images in an illumination cabinet on a motorized roller conveyor while eggs are moving on the movement halls. The system successfully operated for the grading of eggs in the industrial multi-flow production line in real-time. There were significant correlations among measured weights of the eggs after image processing. The coefficient of linear correlation (R

Indexed as

EggsImage Processing, Computer-AssistedAnimalsCell MovementChickensFood-Processing Industrycomputer visionegg weight estimationimage processingindustrial egg gradingmulti-flow production line

Identifiers

PMID36616713
PMCPMC9823997

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.