Precision farming in aquaculture: assessing gill health in Atlantic salmon (

Meredith Burke, Dragana Nikolic, Pieter Fabry, Hemang Rishi, Trevor Telfer, Sonia Rey Planellas

Abstract read

In one paragraph

Article in Aquaculture science and management, 2025. 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.

Probiotic yeast engineers a protective biofilm environment to enhance bioremediation and seahorse health in aquaculture.Biofilm · 2026
Article
Regional brain serotonergic activity as an indicator of chronic stress and compromised welfare in fish.Frontiers in endocrinology · 2026
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

6 authors.

Meredith BurkeInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.

Dragana NikolicObserve Technologies, Richmond, UK.

Pieter FabryObserve Technologies, Richmond, UK.

Hemang RishiObserve Technologies, Richmond, UK.

Trevor TelferInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.

Sonia Rey PlanellasInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the aquaculture industry grows, more sophisticated technology is required to monitor farms and ensure good fish welfare, in line with the precision livestock farming concept. Using behaviour as a non-invasive monitoring tool, combined with artificial intelligence, enables greater control over farm management. This study aimed to assess temporal changes in farmed Atlantic salmon ( Supplementary Information: The online version contains supplementary material available at 10.1186/s44365-025-00020-8.

Indexed as

AquacultureAtlantic salmonFish behaviourGill healthMachine learningPrecision farmingWelfare

Identifiers

PMID40851784

DOI10.1186/s44365-025-00020-8

PMCPMC12369403

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.