Journal of Fish Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 10, 2024
Estimates
of
abundance
are
essential
to
manage
and
conserve
marine
species.
Numerous
methods
available
determine
population
size,
but
the
suitability
for
schooling
fishes
associated
precision
can
vary
depending
on
species
system.
Here,
we
developed
compared
three
mark-recapture/resight
assess
most
robust
method
estimate
silver
trevally
(Pseudocaranx
georgianus).
While
recapture
rate
was
similar
across
methods,
swim
pass
(resighting)
recorded
largest
number
individuals
(mean
±
standard
error
211
14.9)
had
lowest
coefficient
variation
(CV;
4.5%-12%)
360-video
(resighting,
45
2.1
surveyed,
14.8%-22.2%
CV)
large-scale
capture
(recapture,
30
3.8
17.3%-26.5%
CV).
The
inclusion
individual
identification
into
estimator
models
did
not
change
estimates
showed
resolution
between
(CV
18.2%-26.7%).
We
that
is
logistically
easy
implement
generates
precise
abundance.
This
new
provides
a
low-cost,
time-efficient
resighting
be
adapted
suit
aggregating
pelagic
interacting
with
wildlife
tourism
operations,
enabling
researchers
rapidly
have
been
previously
difficult
count.
Reviews in Aquaculture,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 1, 2025
ABSTRACT
Digital
aquaculture
leverages
advanced
technologies
and
data‐driven
methods,
providing
substantial
benefits
over
traditional
practices.
This
article
presents
a
comprehensive
review
of
three
interconnected
digital
tasks,
namely,
fish
tracking,
counting,
behaviour
analysis,
using
novel
unified
approach.
Unlike
previous
reviews
which
focused
on
single
modalities
or
individual
we
analyse
vision‐based
(i.e.,
image‐
video‐based),
acoustic‐based,
biosensor‐based
methods
across
all
tasks.
We
examine
their
advantages,
limitations,
applications,
highlighting
recent
advancements
identifying
critical
cross‐cutting
research
gaps.
The
also
includes
emerging
ideas
such
as
applying
multitask
learning
large
language
models
to
address
various
aspects
monitoring,
an
approach
not
previously
explored
in
literature.
identify
the
major
obstacles
hindering
progress
this
field,
including
scarcity
datasets
lack
evaluation
standards.
To
overcome
current
explore
potential
multimodal
data
fusion
deep
improve
accuracy,
robustness,
efficiency
integrated
monitoring
systems.
In
addition,
provide
summary
existing
available
for
analysis.
holistic
perspective
offers
roadmap
future
research,
emphasizing
need
standards
facilitate
meaningful
comparisons
between
promote
practical
implementations
real‐world
settings.
Diversity,
Journal Year:
2022,
Volume and Issue:
14(10), P. 824 - 824
Published: Sept. 30, 2022
Many
stakeholders,
from
governments
to
civil
society
businesses,
lack
the
data
they
need
make
informed
decisions
on
biodiversity,
jeopardising
efforts
conserve,
restore
and
sustainably
manage
nature.
Here
we
review
importance
of
enhancing
biodiversity
monitoring,
assess
challenges
involved
identify
potential
solutions.
Capacity
for
monitoring
needs
be
enhanced
urgently,
especially
in
poorer,
high-biodiversity
countries
where
gaps
are
disproportionately
high.
Modern
tools
technologies,
including
remote
sensing,
bioacoustics
environmental
DNA,
should
used
at
larger
scales
fill
taxonomic
geographic
gaps,
tropics,
marine
freshwater
biomes,
plants,
fungi
invertebrates.
Stakeholders
follow
best
practices,
adopting
appropriate
indicators
using
counterfactual
approaches
measure
attribute
outcomes
impacts.
Data
made
openly
freely
available.
Companies
invest
collecting
required
enhance
sustainability
their
operations
supply
chains.
With
soon
commit
post-2020
global
framework,
time
is
right
a
concerted
push
monitoring.
However,
action
scale
needed
now
if
results-based
management
adequately
conserve
ecosystem
services
all
depend
on.
The Innovation Life,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100105 - 100105
Published: Jan. 1, 2024
<p>Artificial
intelligence
has
had
a
profound
impact
on
life
sciences.
This
review
discusses
the
application,
challenges,
and
future
development
directions
of
artificial
in
various
branches
sciences,
including
zoology,
plant
science,
microbiology,
biochemistry,
molecular
biology,
cell
developmental
genetics,
neuroscience,
psychology,
pharmacology,
clinical
medicine,
biomaterials,
ecology,
environmental
science.
It
elaborates
important
roles
aspects
such
as
behavior
monitoring,
population
dynamic
prediction,
microorganism
identification,
disease
detection.
At
same
time,
it
points
out
challenges
faced
by
application
data
quality,
black-box
problems,
ethical
concerns.
The
are
prospected
from
technological
innovation
interdisciplinary
cooperation.
integration
Bio-Technologies
(BT)
Information-Technologies
(IT)
will
transform
biomedical
research
into
AI
for
Science
paradigm.</p>
Journal of Fish Biology,
Journal Year:
2023,
Volume and Issue:
104(2), P. 422 - 432
Published: Feb. 17, 2023
Abstract
Fish
are
a
critical
component
of
marine
biology;
therefore,
the
accurate
identification
and
counting
fish
essential
for
objective
monitoring
assessment
biological
resources.
High‐frequency
adaptive
resolution
imaging
sonar
(ARIS)
is
widely
used
underwater
object
detection
imaging,
it
quickly
obtains
close‐up
video
free‐swimming
in
high‐turbidity
water
environments.
Nonetheless,
processing
massive
data
output
using
sonars
remains
major
challenge.
Here,
authors
developed
an
automatic
image‐processing
programme
that
fuses
K‐nearest
neighbour
background
subtraction
with
DeepSort
target
tracking
to
automatically
track
count
fish.
The
was
evaluated
four
test
sets
different
sizes
observation
ranges
differently
deployed
sonars.
According
results,
approach
successfully
counted
targets
accuracy
index
73%
completeness
70%.
Under
appropriate
conditions,
this
could
replace
time‐consuming
semi‐automatic
approaches
improve
efficiency
processing,
while
providing
technical
support
future
real‐time
processing.
IEEE Sensors Journal,
Journal Year:
2023,
Volume and Issue:
23(23), P. 28549 - 28563
Published: Oct. 27, 2023
With
the
rapid
development
of
underwater
sensor
techniques,
using
acoustic
techniques
to
obtain
and
analyze
images
is
an
effective
approach
due
superior
nature
sonar,
especially
in
turbidity
dim
environment.
In
recent
years,
sonar
image
processing
based
on
deep
learning
(DL)
being
developed
applied
automatic
target
recognization
tasks.
This
article
outlines
research
DL-based
algorithms
for
imagery,
including
denoising,
feature
extraction,
classification,
detection,
segmentation.
review
shows
that
classification
most
studied
transfer
has
put
into
spotlight.
Besides,
datasets
applications
are
listed
can
be
used
aquaculture.
Currently
known
include
behavior
analysis,
biomass
estimation,
species
identification,
habitat
survey.
Furthermore,
smart
aquaculture,
as
one
important
application
fields
technique,
challenges
future
directions
aquaculture
discussed.
The
purpose
this
work
aims
help
researchers
find
DL
processing,
potential
Fishes,
Journal Year:
2025,
Volume and Issue:
10(3), P. 105 - 105
Published: Feb. 28, 2025
A
survey
was
conducted
to
evaluate
the
effectiveness
of
adaptive
resolution
imaging
sonar
(ARIS),
also
known
as
an
acoustic
camera,
for
monitoring
large
jellyfish
in
Liaodong
Bay
area,
China.
The
abundance
and
vertical
distribution
species,
such
Nemopilema
nomurai,
Aurelia
coerulea,
Cyanea
nozakii,
were
obtained
from
camera
observation
images,
method
determined.
provided
visual
information
on
number
their
positions
water
column
demonstrated
that
they
more
frequently
located
mid-upper
surveyed
area.
results
show
it
is
possible
identify
three
different
types
using
based
size,
shape,
outline,
movement
trajectory.
enables
effective
distribution,
demonstrating
its
suitability
shallow
waters.
observations
through
can
be
used
study
horizontal
spatial
characteristics
observe
behavior.
Marine Ecology Progress Series,
Journal Year:
2023,
Volume and Issue:
717, P. 157 - 179
Published: July 19, 2023
Reef
fish
assemblages
across
tropical
and
temperate
latitudes
are
increasingly
threatened
by
human
impacts
climate
change.
Accurate
efficient
survey
methods
essential
for
quantifying
these
communities
to
inform
management
strategies.
Imaging
sonars
(ISs)
high-frequency
acoustic
devices
that
produce
camera-like
images
of
objects.
Unlike
optical
instruments,
IS
functions
effectively
in
turbid
dark
water
has
proven
valuable
detecting
fishes
poor
visibility
at
night.
Abundance,
species
richness,
size
desirable
metrics
most
reef
surveys.
This
review
investigates
previous
attempts
quantify
using
different
habitats.
These
often
quantified
comparison
with
alternative
(e.g.
cameras,
extractive
techniques).
examines
the
causes
agreement
or
incongruence
between
estimates
from
alternatives.
Any
instrument
employed
should
be
able
operate
structurally
complex
habitats,
thus
ability
function
circumstances
is
also
reviewed.
Finally,
5
notable
limitations
described
solutions
discussed.
Overall,
this
underlines
net
value
surveying
but
advises
complement
abundance,
size.
ICES Journal of Marine Science,
Journal Year:
2023,
Volume and Issue:
81(2), P. 207 - 251
Published: Nov. 30, 2023
Abstract
For
many
aquatic
animals,
distributional
patterns,
trophodynamic
relationships,
and
reproductive
activity
are
driven
by
complex
biotic
abiotic
ecosystem
interactions
that
influence
behaviour.
Linking
behavioural
information
to
environmental
stimuli
stressors
can,
therefore,
help
anticipate
population
responses
changing
conditions
inform
management.
However,
is
challenging
obtain
because
sampling
gears
do
not
provide
adequate
spatial
or
temporal
resolution,
potentially
alter
behaviours.
Traditionally,
most
studies
have
been
laboratory
experiments,
while
behaviour
in
situ
has
often
inferred
indirectly.
Advancements
imaging
sonar
technology
enable
the
study
of
behaviours
with
potential
address
understudied
relationships.
In
this
review
we
discuss
applications
among
a
meta-analysis
155
organisms
their
environments.
We
evaluate
performance
for
studying
inter-
intra-specific
interactions,
associations
sensitive
habitats
low-visibility
environments,
traditional
fisheries
gears.
examine
data
processing
analytical
methods
used
refine
taxonomic
manage
time
use
autocorrelation
through
sub-sampling,
extract
metrics
applied
ecological
processes,
automating
abundance
estimates
image
classification
goal
providing
resource
researchers.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 134486 - 134497
Published: Jan. 1, 2024
Acoustic
cameras
are
increasingly
used
for
continuous,
non-intrusive
recording
and
counting
of
fish
passage
in
natural
environments
artificial
structures
such
as
fishways.
However,
analysing
the
large
number
videos
recorded
is
time
consuming.
Although
automatic
reading
processes
have
been
developed,
poor
quality
acoustic
images,
including
discontinuity
signal
a
single
object,
challenging.
We
developed
an
innovative
method
videos.
Unlike
previous
methods,
it
focuses
on
swimming
locomotion
instead
morphological
properties
fish.
Each
image
pre-processed
to
remove
discontinuities
restore
entire
body
cluster
pixels.
The
set
pixels
then
tracked
retrieve
movement,
independent
displacement
fish,
using
mesh
solid
deformable
model.
deformation
which
subjected
between
each
pair
frames
(i.e.,
body)
summarised
map
passage.
Testing
dataset
four
species
strongly
suggested
that
maps
species-dependent.
These
results
must
be
extended
other
confirm
effectiveness
identification
characterisation
their
behaviour
camera
records.