Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 73 - 73
Published: Jan. 1, 2025
The
integration
of
artificial
intelligence
(AI)
and
the
internet
things
(IoT),
known
as
(AIoT),
is
driving
significant
advancements
in
aquaculture
industry,
offering
solutions
to
longstanding
challenges
related
operational
efficiency,
sustainability,
productivity.
This
review
explores
latest
research
studies
AIoT
within
focusing
on
real-time
environmental
monitoring,
data-driven
decision-making,
automation.
IoT
sensors
deployed
across
systems
continuously
track
critical
parameters
such
temperature,
pH,
dissolved
oxygen,
salinity,
fish
behavior.
AI
algorithms
process
these
data
streams
provide
predictive
insights
into
water
quality
management,
disease
detection,
species
identification,
biomass
estimation,
optimized
feeding
strategies,
among
others.
Much
adoption
advantageous
various
fronts,
there
are
still
numerous
challenges,
including
high
implementation
costs,
privacy
concerns,
need
for
scalable
adaptable
models
diverse
environments.
also
highlights
future
directions
aquaculture,
emphasizing
potential
hybrid
models,
improved
scalability
large-scale
operations,
sustainable
resource
management.
Language: Английский
Importance of biofilms in water quality management in aquaculture systems—a review
Aquaculture International,
Journal Year:
2025,
Volume and Issue:
33(4)
Published: April 3, 2025
Language: Английский
A systematic analysis of recirculating aquaculture systems (RAS) and biofloc technology (BFT) for white leg shrimp (Litopenaeus vannamei) in the indoor farming system
Aquacultural Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102544 - 102544
Published: April 1, 2025
Language: Английский
Integrating AIoT Technologies in Aquaculture: A Systematic Review
Future Internet,
Journal Year:
2025,
Volume and Issue:
17(5), P. 199 - 199
Published: April 30, 2025
The
increasing
global
demand
for
seafood
underscores
the
necessity
sustainable
aquaculture
practices.
However,
several
challenges,
including
rising
operational
costs,
variable
environmental
conditions,
and
threat
of
disease
outbreaks,
impede
progress
in
this
field.
This
review
explores
transformative
role
Artificial
Intelligence
Things
(AIoT)
mitigating
these
challenges.
We
analyse
current
research
on
AIoT
applications
aquaculture,
with
a
strong
emphasis
use
IoT
sensors
real-time
data
collection
AI
algorithms
effective
analysis.
Our
focus
areas
include
monitoring
water
quality,
implementing
smart
feeding
strategies,
detecting
diseases,
analysing
fish
behaviour,
employing
automated
counting
techniques.
Nevertheless,
gaps
remain,
particularly
regarding
integration
broodstock
management,
development
multimodal
systems,
challenges
model
generalization.
Future
advancements
should
prioritise
adaptability,
cost-effectiveness,
sustainability
while
emphasizing
importance
advanced
biosensing
capabilities,
digital
twin
technologies.
In
conclusion,
presents
substantial
opportunities
enhancing
practices,
successful
implementation
will
depend
overcoming
related
to
scalability,
cost,
technical
expertise,
improving
models’
ensuring
sustainability.
Language: Английский
Effects of oyster shell addition on shrimp aquaculture and the dynamic succession of surface biofilm microbial communities
Xianke Huang,
No information about this author
Guoqiang Xiao,
No information about this author
Xiang Zhang
No information about this author
et al.
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Nov. 20, 2024
Introduction
In
the
context
of
Litopenaeus
vannamei
aquaculture,
incorporation
oyster
shells
has
proven
beneficial
for
enhancing
water
quality
and
growth
conditions
shrimp.
Nonetheless,
specific
effects
in-situ
treatment
using
on
shrimp
growth,
along
with
composition
succession
dynamics
microbial
community
within
shell
biofilms,
have
yet
to
be
thoroughly
investigated.
Methods
This
study
established
control,
low-concentration,
high-concentration
addition
groups
emulate
environment
shells,
objective
elucidating
impacts
aquaculture
setting.
Results
The
results
showed
that
could
significantly
improve
length
(
F
=
12.248,
P
0.005
),
weight(
138.234,
<
0.001
survival
rate
15.248,
)
shrimp,
while
there
were
no
significant
differences
in
-1.233,
0.267
-2.143,
0.076
between
high
low
concentration
groups.
Additionally,
resulted
elevated
phosphate
levels
74.92,
Day
70),
diminished
nitrite
5.276,
0.031
56),
increased
nitrate
concentrations
9.421,
0.006
70).
Within
relative
abundances
Ruegeria,
Tenacibaculum
,
BD2-
11_terrestrial_group
Kapabacteriales
exhibited
declines
over
time,
whereas
abundance
Nitrospira
demonstrated
a
marked
increase,
ultimately
emerging
as
predominant
bacterium
(Relative
31.8%)
biofilms
during
latter
stages
experiment.
also
notably
higher
experimental
group
control
2.265,
).
Discussion
biofilm
provided
proliferation
thereby
accelerating
transformation
into
system,
which
subsequently
improved
farming
conditions.
research
offers
valuable
insights
application
contributes
theoretical
underpinnings
necessary
advancing
our
understanding
mechanisms
through
enhance
foster
health.
Language: Английский