PeerJ,
Journal Year:
2022,
Volume and Issue:
10, P. e13396 - e13396
Published: May 5, 2022
Deep
learning
allows
us
to
automatize
the
acquisition
of
large
amounts
behavioural
animal
data
with
applications
for
fisheries
and
aquaculture.
In
this
work,
we
have
trained
an
image-based
deep
algorithm,
Faster
R-CNN
(Faster
region-based
convolutional
neural
network),
automatically
detect
track
gilthead
seabream,
Sparus
aurata,
search
individual
differences
in
behaviour.
We
collected
videos
using
a
novel
Raspberry
Pi
high
throughput
recording
system
attached
experimental
arenas.
From
continuous
during
assays,
acquired
labelled
total
14,000
images
used
them,
along
augmentation
techniques,
train
network.
Then,
evaluated
performance
our
network
at
different
training
levels,
increasing
number
applying
augmentation.
For
every
validation
step,
processed
more
than
52,000
images,
without
presence
normal
altered
(i.e.,
after
introduction
non-familiar
object
test
explorative
behaviour)
The
final
best
version
network,
all
augmentation,
reached
accuracy
92,79%
±
6.78%
[89.24-96.34]
correct
classification
10.25
61.59
pixels
[6.59-13.91]
fish
positioning
error.
Our
based
on
provides
valuable
non-invasive
tool
movements
arenas
and,
trajectories
obtained
tests,
assay
types.
Reviews in Aquaculture,
Journal Year:
2021,
Volume and Issue:
14(2), P. 704 - 728
Published: Oct. 10, 2021
Abstract
Environmental
enrichment
(EE)
can
improve
the
welfare
of
captive
fish.
Its
objective
is
to
provide
new
sensorial
and
motor
stimulation
in
order
help
meet
their
behavioural,
physiological,
morphological
psychological
needs,
whilst
reducing
stress
frequency
abnormal
behaviours.
In
fish
farms,
rearing
environments
are
usually
designed
from
a
human
perspective
based
on
economic
requirements,
mainly
for
practical
reasons
farmer,
with
little
consideration
animal
welfare.
Throughout
aquaculture
production
cycles,
many
farming
operations
be
stressful
fish,
EE
may
not
only
them
cope
these
events
but
also
overall
recent
years,
increasing
interest
effects
has
focussed
structural
enrichment.
However,
there
other
strategies
that
merit
attention
(e.g.
sensorial,
occupational,
social
dietary
enrichment)
which
farming.
Here,
we
review
depth
existing
literature
its
wide
range
farmed
species,
discussing
feasibility
potential
applications
different
promote
at
commercial
scale.
We
present
framework
address
design,
validation
implementation
by
industry,
taking
technical
challenges
providing
Reviews in Aquaculture,
Journal Year:
2021,
Volume and Issue:
14(3), P. 1120 - 1135
Published: Dec. 7, 2021
Abstract
With
the
rapid
development
of
aquaculture
and
gradual
decrease
in
fishery
resources,
aquatic
animal
welfare
(AAW)
has
received
increasing
attention
from
protection
organisations,
government
departments,
biologists,
fish
culturists
consumers.
Although
environmental
enrichment
(EE)
can
potentially
benefit
AAW,
relevant
results
are
sharply
mixed,
drivers
for
these
discrepancies
largely
unclear.
In
this
study,
we
conducted
a
series
meta‐analyses
to
overcome
knowledge
gap.
We
firstly
compiled
full
data
set,
consisting
1171
effect
sizes
147
studies
across
82
species
then
performed
multilevel
mixed‐effects
model
evaluate
overall
size
conduct
subsequent
meta‐regression
analyses.
Overall,
our
showed
that
animals
physically
enriched
environment
had
significantly
improved
AAW
compared
with
their
counterparts
barren
environments.
For
moderators,
specific
traits,
taxa,
stages,
types
colours
strong
positive
EE
effects
on
AAW.
Subsequently,
constructed
set
reran
meta‐analysis,
yielding
substantially
similar
those
obtained
using
set.
Finally,
multi‐model
inference
identify
importance
ranking
potential
moderators.
Results
type,
taxon
category
best
moderators
direction
magnitude
These
provide
insights
into
possible
important
implications
aquaculture,
fisheries,
conservation,
research
aquarium,
providing
evidence‐based
guidance
future
theories
practices.
Frontiers in Veterinary Science,
Journal Year:
2022,
Volume and Issue:
9
Published: June 30, 2022
Digital
technologies
offer
new
ways
to
ensure
that
animals
can
lead
a
good
life
in
managed
settings.
As
interactive
enrichment
and
smart
environments
appear
zoos,
farms,
shelters,
kennels
vet
facilities,
it
is
essential
the
design
of
such
be
guided
by
clear,
scientifically-grounded
understandings
what
need
want,
successful
improving
their
wellbeing.
The
field
Animal-Computer
Interaction
proposes
this
achieved
centering
as
stakeholders
technology
design,
but
there
remains
for
robust
methods
support
interdisciplinary
teams
placing
animals'
interests
at
heart
projects.
Responding
gap,
we
present
Welfare
through
Competence
framework,
which
grounded
contemporary
animal
welfare
science,
established
practices
applied
expertise
animal-centered
design.
framework
brings
together
"Five
Domains
Animal
Welfare"
model
"Coe
Individual
Competence"
model,
provides
structured
approach
defining
animal-centric
objectives
refining
them
course
project.
In
paper,
demonstrate
how
use
promote
positive
range
These
much-needed
methodological
advances
contribute
theoretical
foundation
debates
around
possibility
practical
agenda
creating
animals.
Journal of Fish Biology,
Journal Year:
2023,
Volume and Issue:
103(5), P. 974 - 984
Published: June 30, 2023
Although
studies
on
fish
cognition
are
increasing,
consideration
of
how
methodological
details
influence
the
ability
to
detect
and
measure
performance
is
lagging.
Here,
in
two
separate
experiments
authors
compared
latency
leave
start
position,
make
a
decision,
levels
participation
success
rates
(whether
entered
rewarded
chamber
as
first
choice)
across
different
physical
designs.
Experiments
(a)
sizes
T-mazes,
large
standard,
plus-maze,
(b)
open
choice
arenas
with
either
or
four
doors.
Fish
T-mazes
longer
arms
took
were
less
likely
participate
trial
than
shorter
arms.
The
number
options,
complexity,
maze
significantly
impacted
but
did
not
necessarily
impact
behavioural
measures,
that
reached
chamber.
plus-maze
had
similar
latencies
box
time
reach
any
same-sized
T-maze
exhibited
lower
overall
success.
Similarly,
an
arena,
increasing
options
-
doors
potential
reward
chambers
resulted
probability
There
was
position
closest
sides
arena
resulting
enter
higher
decision
Together
results
allow
offer
practical
suggestions
towards
optimal
design
for
cognition.
Journal of Fish Biology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 4, 2025
Abstract
Preference
tests
are
commonly
used
to
assess
fish
behavior
and
cognition
in
several
research
fields.
This
study
aimed
investigate
how
perform
a
preference
test
involving
extended
habituation
the
apparatus,
which
was
expected
reduce
stress.
We
contrasted
choice
between
sector
of
apparatus
with
natural
vegetation,
be
preferred
stimulus,
barren
sector.
Initially,
we
demonstrated
that
guppies'
for
vegetation
increased
after
5‐day
period
(Experiment
1).
Subsequent
experiments
systematically
modified
testing
paradigm
observe
effects
on
preference.
Experiment
2
introduced
physical
separation
sectors
facilitate
discrete
choices,
3
tested
groups
fish,
4
wild
guppies.
Only
modification
impacted
scores:
guppies
showed
higher
stimulus
spent
less
time
central,
no‐choice
apparatus.
Overall,
this
supports
importance
methodological
details
highlights
benefits
group
testing.
Researchers
should
consider
these
factors
when
designing
evaluate
cognitive
abilities
or
behavioral
preferences
fish.
Tailoring
paradigms
specific
goals
can
improve
reliability
comparability
results,
contributing
deeper
understanding
welfare.
Frontiers in Marine Science,
Journal Year:
2025,
Volume and Issue:
11
Published: Jan. 7, 2025
Introduction
This
study
evaluates
the
feasibility
of
culturing
high-value
marine
fish
Protonibea
diacanthus
in
a
polyculture
system
with
Indian
pompano
(
Trachinotus
mookalee
)
using
cage
culture
setup.
The
aims
to
determine
growth
performance,
feed
efficiency,
and
potential
P.
as
candidate
species
for
polyculture.
Methods
Wild-caught
were
reared
six
high-density
polyethylene
sea
cages
(Inner
Diameter:
6
m;
Outer
7
Depth:
4.5
Area:
28.29
m²;
Volume:
127.29
m³).
Two
experimental
groups
established:
Group-1
90
individuals
(average
weight:
130.15
±
6.39
g)
Group-2
287.80
16.90
g).
Each
group
was
divided
into
three
(30
fish/cage)
triplicate
T.
(2,500
fish/cage,
average
31.12
1.17
cultured
148
days
fed
commercial
diet
(40%
crude
protein,
10%
lipid).
Growth
indices
efficiency
analyzed,
modeled
von
Bertalanffy
Function
(VBGF).
Results
performance
indices,
including
total
length
gain,
body
weight
specific
rate,
significantly
higher
(P
≤
0.05).
Feed
(feed
conversion
ratio,
protein
ratio)
did
not
differ
between
>
VBGF
modeling
estimated
asymptotic
(L
∞
at
164.21
3.58
cm,
(W
44,070.19
2811
g,
coefficient
(K)
0.30
0.01
yr
−1
t₀
-0.005
0.02
yr.
index
(ϕ’)
calculated
1.91,
surpassing
values
reported
wild
populations.
Polyculture
affect
or
utilization
Discussion
conclusion
results
indicate
that
exhibits
superior
under
conditions,
high
compatibility
systems.
These
findings
support
viable
integration