Evidence map›Paper›PMID 38152264›Full record

ArticleVeterinary world2023

Benefits of automated pig feeding system: A simplified cost-benefit analysis in the context of Kazakhstan.

Gulmira K Dambaulova, Vladimir A Madin, Zheniskul A Utebayeva, Madina K Baimyrzaeva, Leila Z Shora

Abstract read
In one paragraph

Article in Veterinary world, 2023. 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. Review
  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

5 authors.

Gulmira K DambaulovaRegional Smart-Center, A. Baitursynov Kostanay Regional University, Kostanay, Kazakhstan.
Vladimir A MadinDepartment of Software Development and Maintenance, A. Baitursynov Kostanay Regional University, Kostanay, Kazakhstan.
Zheniskul A UtebayevaDepartment of Accounting and Management, A. Baitursynov Kostanay Regional University, Kostanay, Kazakhstan.
Madina K BaimyrzaevaDepartment of Economic and General Education Disciplines, Eurasian Law Academy named after D.A. Kunaev, Almaty, Kazakhstan.
Leila Z ShoraRegional Smart-Center, A. Baitursynov Kostanay Regional University, Kostanay, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Automated pig feeding system is an emerging technology with the potential to considerably enhance pig farming. This study aimed to explore the benefits of automated pig feeding systems and provide a simplified cost-benefit analysis, which would serve as a valuable decision-making tool for the stakeholders. Materials and Methods: This study conducted a literature review of automated pig feeding systems and explored recent advancements. We conducted a cost-benefit analysis to assess the economic feasibility of implementing an automated feeding system in pig farming. Finally, the case study site, a pig farm in Kazakhstan, has been introduced to provide key information. Results: The results described an automated pig feeding system suitable for a farm with 500 pigs in Kazakhstan. The case study was further enhanced using a simplified cost-benefit analysis tailored to the farm's needs and circumstances. Conclusion: The designed automated pig feeding system is a marked advancement that seamlessly integrates the currently available automation and management technologies. Its distinguishing feature is the inclusion of remote control capabilities and real-time data provision, which utilize modern technology to transform pig farming management.

Indexed as

automated feeding systemcost–benefit analysisefficiencypig farming

Identifiers

PMID38152264
PMCPMC10750755

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.