The nexus of IoT and aquaculture: A bibliometric analysis
Abderahman Rejeb,
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Karim Rejeb,
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John G. Keogh
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et al.
Applied Food Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100838 - 100838
Published: March 1, 2025
Language: Английский
Relation among zootechnical performance, biochemical indicators, water quality, and small invertebrates (zooplankton) abundance reared in biofloc-supplemented systems
Frontiers in Marine Science,
Journal Year:
2025,
Volume and Issue:
11
Published: Jan. 27, 2025
The
present
study
was
conducted
to
investigate
the
interaction
of
biofloc
water
supplementations
and
potential
zooplankton
abundance
structure
in
Nile
tilapia
Oreochromis
niloticus
-rearing
systems
on
zootechnical
performance
biochemical
indicators.
juveniles
(13.30
g
9.50
cm)
were
randomly
distributed
into
18
fiberglass
tanks
(500
L/tank
with
a
stocking
density
40
fish/tank)
start
feeding
experiment
for
60
days.
Fish
weights
recorded
weekly
adjust
rate
at
3%
their
biomass
using
commercial
diet.
Compared
control
group
(T
0
,
zero
supplementation),
influence
five
supplementation
levels
applied
as
follows:
14.2,
28.4,
42.6,
56.8,
71
L
−1
1
T
2
3
4
5
respectively).
prepared
an
external
fermentor
tank
(300
L)
added
fish
keep
constant
during
experiment.
After
30
days
experiment,
number
46,501
24,537
Ind.
respectively,
which
included
four
families
(Rotifera,
Copepoda,
Cladocera,
free-living
nematodes)
domination
family
Rotifera
81.65%
93.89%,
respectively.
quality
indicated
within
standard
values
recommended
culture.
those
group,
growth
performance,
whole-body
composition,
blood
indicators
significantly
higher
groups
than
group.
Group
achieved
highest
significant
values.
In
comparison
lowest
cultures
small
invertebrate
prey
after
reared
showed
urea
content
concentrations
liver
function
enzyme
activities.
Interestingly,
compared
all
groups,
best
feed
conversion
ratio
(FCR)
value
(1.68).
Principal
component
analysis
(PCA)
Pearson’s
correlation
coefficient
confidence
(PCCC)
clarified
close
positive
relationship
between
total
individual,
abundance,
FCR.
PCCC
(0.947).
conclusion,
(42.6
)
sustainable
clean
aquadiet
strategy
improved
FCR
regard
culture
invertebrates
Language: Английский
Unlocking the Potential: Artificial Intelligence Applications in Aquaculture Greenhouse Development
Einar Ringø,
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Amr M. Helal,
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Ehab El-Haron
No information about this author
et al.
IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
Aquaculture
plays
a
significant
role
in
the
expanding
agricultural
sector,
with
historical
challenges
stemming
from
experimental
limitations.
Upholding
ecological
balance
and
water
quality
improvements
stands
as
pivotal
factor
bolstering
efficiency
sustainability
of
aquaculture
production.
Notably,
greenhouse
setups
have
addressed
various
environmental
concerns,
boosting
productivity
sustainability.
The
ongoing
advancement
science
technology
has
ushered
new
era
aquaculture,
marked
by
integration
Artificial
Intelligence
(AI)
digitalization.
AI
represents
fascinating
powerful
machine
learning-based
techniques
for
solving
many
real-world
problems.
To
regulate
is
used
to
assess
sensor
data
real
time
using
sophisticated
algorithms,
allowing
proactive
adjustments
maintain
ideal
conditions.
Likewise,
essential
disease
identification
since
it
uses
Internet
Things
(IoT)
learning
(ML)
models
identify
subtle
patterns
fish
behavior
or
health
parameters,
facilitating
early
intervention
mitigation
strategies.
This
book
chapter
overviews
transformative
potential
applications
development
systems,
including
monitoring,
feed
management,
detection,
predictive
analytics,
collection,
model
development,
ethical
considerations.
By
unlocking
AI,
can
benefit
increased
productivity,
reduced
impact,
enhanced
Language: Английский