Evidence map›Paper›PMID 42652022›Full record

ArticleAnimals : an open access journal from MDPI2026

Developing Intelligent Models to Detect and Classify Cattle Behavior on Pasture.

Alyssa Lopez, Elysia Jimenez, Damian Valles, Merritt L Drewery

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Alyssa LopezDepartment of Agricultural Sciences, Texas State University, San Marcos, TX 78666, USA.
Elysia JimenezDepartment of Agricultural Sciences, Texas State University, San Marcos, TX 78666, USA.
Damian VallesIngram School of Engineering, Texas State University, San Marcos, TX 78666, USA.ORCID 0000-0002-5684-9498
Merritt L DreweryDepartment of Agricultural Sciences, Texas State University, San Marcos, TX 78666, USA.ORCID 0000-0003-3558-9532

Funding

National Institute of Food and Agriculture 2023-70440-40158
6 · The paper itself

Abstract

Cattle producers must balance animal welfare with productivity, but regular observation of animals in extensively managed operations is often impractical. Artificial intelligence (AI) integrated with computer vision offers an automated alternative, but few studies compare object detection architectures within the same dataset or focus on pastured cattle. Groups (

Indexed as

animal welfareartificial intelligencebehaviorcattlecomputer visionobject detectionprecision livestock farmingtechnology

Identifiers

PMID42652022
PMCPMC13509591

What OpenQuestion holds

Textmetadata
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.