Evidence map›Paper›PMID 32269784›Full record

ArticleRoyal Society open science2020

Salmon behavioural response to robots in an aquaculture sea cage.

M Kruusmaa, R Gkliva, J A Tuhtan, A Tuvikene, J A Alfredsen

Abstract read
In one paragraph

Article in Royal Society open science, 2020. 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. Article
  2. Review
  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.

M KruusmaaCentre for Autonomous Marine Operations and Systems, Norwegian University of Science and Technology, Otto Nielsens Veg 10, Trondheim NO-7491, Norway.ORCID 0000-0001-5738-5421
R GklivaCentre for Biorobotics, Department of Computer Systems, Tallinn University of Technology, Akadeemia tee 15A, 12618 Tallinn, Estonia.
J A TuhtanCentre for Biorobotics, Department of Computer Systems, Tallinn University of Technology, Akadeemia tee 15A, 12618 Tallinn, Estonia.ORCID 0000-0003-0832-7334
A TuvikeneInstitute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Fr.R.Kreutzwald 5, 51006 Tartu, Estonia.
J A AlfredsenCentre for Autonomous Marine Operations and Systems, Norwegian University of Science and Technology, Otto Nielsens Veg 10, Trondheim NO-7491, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal-robot studies can inform us about animal behaviour and inspire advances in agriculture, environmental monitoring and animal health and welfare. Currently, experimental results on how fish are affected by the presence of underwater robots are largely limited to laboratory environments with few individuals and a focus on model species. Laboratory studies provide valuable insight, but their results are not necessarily generalizable to larger scales such as marine aquaculture. This paper examines the effects of underwater robots and a human diver in a large fish aggregation within a Norwegian aquaculture facility, with the explicit purpose to improve the use of underwater robots for fish observations. We observed aquaculture salmon's reaction to the flipper-propelled robot U-CAT in a sea cage with 188 000 individuals. A significant difference in fish behaviour was found using U-CAT when compared to a thruster-driven underwater robot, Argus Mini and a human diver. Specifically, salmon were more likely to swim closer to U-CAT at a lower tailbeat frequency. Fish reactions were not significantly different when considering motor noise or when U-CAT's colour was changed from yellow to silver. No difference was observed in the distance or tailbeat frequency as a response to thruster or flipper motion, when actuated and passively floating robots were compared. These results offer insight into how large aggregations of aquaculture salmon respond to underwater robots. Furthermore, the proposed underwater video processing workflow to assess fish's response to underwater robots is simple and reproducible. This work provides a practical method to study fish-robot interactions, which can lead to improved underwater robot designs to provide more affordable, scalable and effective solutions.

Indexed as

animal–robot interactionaquaculture engineeringbioinspired roboticsbiorobotics

Identifiers

PMID32269784
PMCPMC7137936

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.