Evidence map›Paper›PMID 39764529›Full record

ArticleAnimal frontiers : the review magazine of animal agriculture2024

Artificial intelligence for livestock: a narrative review of the applications of computer vision systems and large language models for animal farming.

Guilherme L Menezes, Gustavo Mazon, Rafael E P Ferreira, Victor E Cabrera, Joao R R Dorea

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal frontiers : the review magazine of animal agriculture, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Artificial intelligence for animal science: from applications to integrated knowledge systems.Animal frontiers : the review magazine of animal agriculture · 2026
    Article
  5. Article
  6. Big Data and AI-Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
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.

Guilherme L MenezesDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.ORCID https://orcid.org/0000-0002-9317-3239
Gustavo MazonDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.ORCID https://orcid.org/0000-0002-5877-1997
Rafael E P FerreiraDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.ORCID https://orcid.org/0000-0002-5141-6175
Victor E CabreraDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.ORCID https://orcid.org/0000-0003-1739-7457
Joao R R DoreaDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.ORCID https://orcid.org/0000-0001-9849-7358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

data-driven decision makingLLMsmachine learningnatural language processingprecision farming

Identifiers

PMID39764529
PMCPMC11700613

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.