As
people's
demand
for
culture
becomes
increasingly
urgent,
architectural
technology
is
also
gradually
developing
towards
virtual
reality.
Firstly,
the
background
and
significance
of
project
were
elaborated,
while
current
situation
application
prospects
at
home
abroad
introduced.
Secondly,
a
brief
analysis
explanation
conducted
on
characteristics
reality
in
design
different
types
buildings.
Finally,
this
article
proposes
to
building
structures,
through
simulation
verification,
results
show
that
predicted
temperature
actual
differ
by
within
2
°C,
humidity
value
2%
rh;
average
resource
utilization
rate
vernacular
architecture
display
platform
0.6,
CPU
0.2,
memory
0.4.
Artificial Intelligence in Agriculture,
Год журнала:
2024,
Номер
12, С. 57 - 71
Опубликована: Апрель 15, 2024
Factory
recirculating
aquaculture
system
(RAS)
is
facing
in
a
stage
of
continuous
research
and
technological
innovation.
Intelligent
an
important
direction
for
the
future
development
aquaculture.
But
RAS
can
not
realize
self-learning
adjustment,
modify
optimal
regulation
strategy
real
time,
which
leads
to
high
cost
low
running
efficiency.
In
this
paper,
precise
aeration
based
on
deep
learning
designed
improving
healthy
growth
status
breeding
objects.
Firstly,
situation
perception
driven
by
computer
vision
used
detect
hypoxia
behavior.
Then
combined
with
biological
energy
model,
it
constructed
calculate
objects
oxygen
consumption.
Finally,
adaptive
generated
according
behavior
judgement
model.
Experimental
results
show
that
consumption
proposed
decreased
26.3%
compared
manual
control
12.8%
threshold
control.
Meanwhile,
stable
water
quality
conditions
accelerated
growth,
cycle
average
weight
400
g
was
shortened
from
5
6
months
3–4
months.
IOP Conference Series Earth and Environmental Science,
Год журнала:
2025,
Номер
1446(1), С. 012049 - 012049
Опубликована: Янв. 1, 2025
Abstract
Fish
farming
plays
an
important
role
in
aquaculture
as
water
quality
is
a
crucial
factor
:ish
health
and
growth.
This
article
presents
the
design
development
of
Internet
Things
(IoT)-based
Smart
Farming
(SHIFA)
system
that
automates
monitoring
control
key
parameters
such
pH,
temperature
turbidity.
The
powered
by
hybrid
energy
sources
integrates
both
PLN
(the
national
electricity
grid)
solar
to
ensure
continuous
operation
even
during
power
outages.
SHIFA
consists
sensors
connected
ESP32
microcontroller
collects
data
real
time.
processed
displayed
through
Home
Assistant
platform,
enabling
remote
automated
actions,
including
circulation
aeration,
maintain
optimal
quality.
Additionally,
offers
user-friendly
web
interface
for
access
control.
demonstrated
sensor
accuracy
98%
97%
95%
turbidity
measurements,
ensuring
precise
parameters.
level
expected
increase
efficiency
sustainability
farms
reducing
manual
intervention
optimizing
resource
utilization
intelligent
automation.
The
Internet
of
Things
(IoT)
has
transformed
the
way
industrial
systems
operate
by
allowing
physical
devices,
machines,
and
to
be
connected
monitored
over
a
network.
facilitated
development
smart
factories
automation
systems,
in
which
data
from
various
sources
is
collected
analyzed
real-time
make
informed
decisions.
IoT-enabled
can
perform
variety
tasks,
including
predictive
maintenance,
process
control,
energy
management,
among
others.
main
advantages
IoT
are
increased
efficiency,
safety,
cost
savings.
generation
massive
amounts
numerous
or
sensors
common
IIoT
world,
but
there
challenges.
goal
this
study
demonstrate
how
AI
enable
Industrial
Automation
develop
response
real-world
issues.
Mathematical Biosciences & Engineering,
Год журнала:
2023,
Номер
20(6), С. 10428 - 10443
Опубликована: Янв. 1, 2023
<abstract><p>With
the
development
of
intelligent
aquaculture,
aquaculture
industry
is
gradually
switching
from
traditional
crude
farming
to
an
industrial
model.
Current
management
mainly
relies
on
manual
observation,
which
cannot
comprehensively
perceive
fish
living
conditions
and
water
quality
monitoring.
Based
current
situation,
this
paper
proposes
a
data-driven
scheme
for
digital
based
multi-object
deep
neural
network
(Mo-DIA).
Mo-IDA
includes
two
aspects
state
environmental
management.
In
management,
double
hidden
layer
BP
used
build
multi-objective
prediction
model,
can
effectively
predict
weight,
oxygen
consumption
feeding
amount.
model
LSTM
was
constructed
using
temporal
correlation
data
series
collection
eight
attributes.
Finally,
extensive
experiments
were
conducted
real
datasets
evaluation
results
well
demonstrated
effectiveness
accuracy
proposed
in
paper.</p></abstract>
World Journal of Advanced Engineering Technology and Sciences,
Год журнала:
2023,
Номер
8(1), С. 262 - 269
Опубликована: Фев. 12, 2023
Internet
of
Things
(IOT)
is
one
the
development
trends
technologies
reduces
amount
human
labor
and
creates
an
economy
ethnic.
Currently,
IoT
applied
in
many
fields
such
as
medicine,
agriculture,
traffic
system,
training,
monitoring,
etc.
It
most
important
because
aquaculture
outdated
field
science.
As
similar
to
In
other
areas
it
essential
identify
problems
that
arise
this
with
help
technology.
The
term
Aquaculture
mainly
refers
fish
plants
takes
place
forms
aquatic
environments,
including
lakes,
rivers,
ponds,
oceans,
artificially
closed
terrestrial
environmental
systems.
Aqua
culture
plays
role
economic
food
production
our
country.
adopt
can
quickly
easily
using
monitoring
Water
quality
be
a
fundamental
problem
depends
on
various
parameters
like
pH,
turbidity,
Temperature,
dissolved
oxygen,
Ammonia
Suggestion
system
continuous
water
by
sensors.
detected
information
transmitted
mobile
phone
aquarist
via
web
cloud
waiter.
will
also
notify
about
data
through
app.
This
activate
automated
farming
make
appropriate
adjustments
environment
self-contained
artificial
pond.
So
keeping
balance,
root
health
living
organisms.
monitor
regularly
access
parameters.
Computer Networks,
Год журнала:
2024,
Номер
249, С. 110505 - 110505
Опубликована: Май 14, 2024
Wireless
communications
increasingly
enable
ubiquitous
connectivity
for
a
large
number
of
nodes,
applications
and
scenarios.
One
the
less
explored
scenarios
is
aquatic
communications,
specially
when
considering
near-shore
short-range
communications.
Overwater
are
impaired
by
distinguishing
dynamic
factors,
such
as
tides,
waves
or
node
mobility,
that
lead
to
widely
fluctuating
unpredictable
channel.
In
this
work,
we
empirically
characterize
near-shore,
overwater
channels
at
2.4
GHz
under
realistic
conditions,
including
tidal
variations,
relatively
short
TX-RX
separations.
To
end,
conducted
experiments
in
coastal
estuarine
region
on
harbor
Shore-to-Shore
(S2S)
Shore-to-Vessel
(S2V)
communication
channels,
respectively,
identify
major
factors
impairing
The
empirical
results
show
constructive/destructive
interference
patterns,
varying
reflecting
surface,
mobility
(i.e.
travel
direction
particular
maneuvers)
have
relevant
noticeable
impact
received
signal
strength.
Thus,
set
parameters
should
be
simultaneously
considered
improving
performance
systems
supporting
S2S
S2V
links,
namely
reflection
surface
changes,
antenna
height,
alignment
separation.
useful
provide
insights
into
link
design
operation.
Recoletos Multidisciplinary Research Journal,
Год журнала:
2024,
Номер
12(1), С. 195 - 214
Опубликована: Июнь 30, 2024
This
study
developed
a
software
application
that
integrates
Internet
of
Things
(IoT)
devices
and
weather
data
to
visualize
prime
fishing
locations
using
advanced
spatial
techniques.
The
features
dashboard
processes
displays
real-time
data,
providing
insights
into
trends,
fisherman
activities,
boat
locations,
environmental
conditions.
uses
the
Graham
scan
method
generate
GIS
grid
heatmap
for
visualizing
fish
populations
enhancing
fisheries
management
capabilities.
Comprehensive
testing
refinement
ensured
application's
usability
adaptability.
results
demonstrated
high
user
satisfaction,
with
91%
rating
in
accuracy.
Scan
successfully
mapped
zones,
achieving
97.96%
overlap
spatial-temporal
analysis,
proving
essential
data-driven
decision-making
sustainable
management.
This
research
aims
to
assess
the
signal
propagation
behavior
of
millimeter
waves
(mmWaves)
over
maritime
environments.
It
focuses
on
path
loss
performance
shore-to-vessel
and
vessel-to-vessel
overwater
communication
at
28
GHz
when
considering
line-of-sight
conditions.
The
study
is
conducted
by
means
synthetic
simulations
four
different
receiver
antenna
heights
with
respect
water
surface,
representing
emerging
Internet-of-Things
application
scenarios.
Simulation
results
are
shown
concerning
excess
-
additional
relative
that
in
free-space
for
each
particular
height,
TX-RX
separations.
We
also
show
cumulative
distribution
function
loss.
outcomes
reveal
variations
up
10
dB
depending
height-distance
setup.
an
initial
distance
range
all
which
below
3
90%
probability.
