Micromachines,
Journal Year:
2023,
Volume and Issue:
15(1), P. 48 - 48
Published: Dec. 26, 2023
The
condition
monitoring
(CM)
of
sealed
metal
compartments
(SMCs)
is
an
urgently
required
restructure.
Ultrasound
penetrates
SMCs
to
power
and
communicate
with
built-in
sensors,
enabling
the
CM
SMCs.
However,
current
ultrasonic
wireless
transfer
data
communication
(UWPTADC)
systems
are
large
complex,
limited
by
efficiency
energy
reliability.
In
this
paper,
optimized
design
a
high-efficiency
passive
system
using
UWPTADC
techniques
proposed
for
SMC.
circuit
model
developed
analyzed
achieve
optimal
efficient
effective
coupling.
A
test
was
constructed
steel
wall
11
mm
thickness
as
validation
object.
At
carrier
frequency
1.045
MHz,
has
60%,
rate
50
kbps.
addition,
realizes
temperature
humidity
inside
13
thick
cylindrical
SMC,
simulating
process
actual
engine
compartment.
provides
wiring-free
battery-free
solution
in
SMCs,
advancing
aerospace,
marine
other
fields.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 145813 - 145852
Published: Jan. 1, 2023
The
increasing
food
scarcity
necessitates
sustainable
agriculture
achieved
through
automation
to
meet
the
growing
demand.
Integrating
Internet
of
Things
(IoT)
and
Wireless
Sensor
Networks
(WSNs)
is
crucial
in
enhancing
production
across
various
agricultural
domains,
encompassing
irrigation,
soil
moisture
monitoring,
fertilizer
optimization
control,
early-stage
pest
crop
disease
management,
energy
conservation.
application
protocols
such
as
ZigBee,
WiFi,
SigFox,
LoRaWAN
are
commonly
employed
collect
real-time
data
for
monitoring
purposes.
Embracing
advanced
technology
imperative
ensure
efficient
annual
production.
Therefore,
this
study
emphasizes
a
comprehensive,
future-oriented
approach,
delving
into
IoT-WSNs,
wireless
network
protocols,
their
applications
since
2019.
It
thoroughly
discusses
overview
IoT
WSNs,
architectures
summarization
protocols.
Furthermore,
addresses
recent
issues
challenges
related
IoT-WSNs
proposes
mitigation
strategies.
provides
clear
recommendations
future,
emphasizing
integration
aiming
contribute
future
development
smart
systems.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102705 - 102705
Published: Aug. 15, 2024
In
modern
agriculture,
the
threat
of
fire
poses
significant
economic
and
environmental
risks.
Additionally,
traditional
detection
methods
are
inadequate
poorly
integrated
with
advanced
technologies.
It
is
crucial
to
develop
a
more
efficient
reliable
system.
Also,
lack
real-time
accurate
monitoring
in
current
systems
compromises
resilience
sustainability
farming
operations.
This
article
details
developing
implementing
system
tailored
for
smart
agriculture.
integrates
cutting-edge
technologies,
including
Internet
Things
(IoT),
embedded
systems,
Flask-based
web
application,
fortified
by
cybersecurity
measures
such
as
login
authentication
secure
HTTP
protocols.
The
system's
primary
aim
monitor
conditions
continuously
agricultural
fields
detect
signs
smoke
or
flame
swiftly,
facilitating
preventive
actions
safeguard
crops
infrastructure.
architecture
employs
sensors
distributed
across
conditions,
Raspberry
Pi
3
B+
central
processing
unit
data
acquisition
transmission,
interface
developed
using
Flask,
HTML,
CSS
visualization
data.
Critical
components
like
MCP3208
analog-to-digital
converter
ensure
reliability
accuracy.
Experimental
results
confirm
efficacy
early
via
browser.
Enhanced
security
features,
authentication,
protect
sensitive
information,
while
regular
updates
maintain
relevance.
study
advances
prevention
farm
preservation
efforts,
offering
high-performance
technological
solution
proactive
quick
response
risks,
thereby
supporting
food
sustainable
practices.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
21, P. 101870 - 101870
Published: Feb. 1, 2024
In
the
field
of
advanced
agriculture,
drones
have
emerged
as
cutting-edge
aerial
spraying
technology.
This
innovative
approach
offers
enhanced
flexibility
and
a
more
systematic
compared
to
traditional
methods,
resulting
in
remarkable
60-fold
increase
efficiency.
Identifying
weed
patches
can
be
accomplished
by
utilizing
image
acquisition
with
for
subsequent
processing
spraying.
An
additional
benefit
is
"downwash"
effect
generated
rotors,
deposition
on
intended
target.
It
important
assess
specific
application
techniques
order
enhance
efficiency
control
using
drones.
review
provides
an
overview
current
scientific
research
use
camera-equipped
detection
herbicides
control.
Research
comparison
sprayers
their
effectiveness
has
shown
that
this
technology
capability
replace
applications
carried
out
mainly
knapsack
reduce
occupational
hazards.
There
are
various
factors
affect
particular
method
These
include
altitude
speed
at
which
conducted,
well
meteorological
conditions,
rate
solution
applied,
characteristics
droplet
producer,
properties
spray
solution.
Overcoming
challenges
crucial
successful
implementation
new
Skilled
experts
required
address
formulation
labeling
details,
guidelines.
Additionally,
understanding
aerodynamic
droplets
essential
its
effectiveness.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102018 - 102018
Published: March 17, 2024
Turmeric
cultivation
primarily
thrives
in
India,
with
significant
presence
Bangladesh,
Thailand,
Cambodia,
China,
Indonesia,
Philippines,
and
Malaysia.
India
leads
globally
both
area
(0.19
Mha)
production
(0.844
MT)
of
turmeric.
Despite
this,
there's
a
recognized
gap
research
regarding
the
combined
effects
mulching
drip
fertigation
on
turmeric
growth
Tamil
Nadu
conditions.
Therefore,
this
study
aims
to
assess
how
impact
water
usage,
growth,
productivity,
post-harvest
soil
health
via
field
experiments.
The
treatments
comprise
different
techniques
(M1-25
μm
Plastic
Mulching,
M2-50
M3-
Organic
M4-No
Mulching)
as
main
plot,
coupled
various
irrigation
regimes
sub
plot
(S1-100%
pan
evaporation,
S2-
80%
S3-
60%
evaporation),
split
design.
Findings
show
that
50-μm
Mulching
(M2)
notably
enhances
parameters,
including
plant
height,
biomass,
leaf
count,
yield
attributes
such
tillers
rhizomes,
compared
no
mulch.
Significantly,
when
evaporation
is
utilized
irrigation,
it
showcases
most
pronounced
characteristics,
plastic
mulch
at
level
significantly
improving
nutrient
use
efficiency
while
increasing
beneficial
compounds
like
Curcumin
oleoresin.
highest
fresh
rhizome
observed
(M2S2),
displaying
39.79%
increase
control.
Additionally,
notes
microbial
populations
degradation.
Economically,
M2S2
exhibits
profitability
benefit-cost
ratio
3.23
other
treatments.
Implementing
these
practices
not
only
yields
but
also
conserves
(estimated
9.15
mm3)
emphasizing
importance
fertilizer
application,
boosting
optimizing
resource
efficiency,
ensuring
economic
environmental
sustainability.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(2), P. 331 - 331
Published: Jan. 8, 2025
Information
and
communication
technology
(ICT)
components,
especially
actuators
in
automated
irrigation
systems,
are
essential
for
managing
precise
optimal
soil
moisture,
enhancing
orchard
growth
yield.
However,
actuator
malfunctions
can
lead
to
inefficient
irrigation,
resulting
water
imbalances
that
impact
crop
health
reduce
productivity.
The
objective
of
this
study
was
develop
a
signal
processing
technique
detect
potential
based
on
the
power
consumption
level
operating
status
an
system.
A
demonstration
with
four
apple
trees
set
up
3
m
×
test
bench
inside
greenhouse,
divided
into
two
sections
enable
independent
schedules
management.
system
consisted
single
pump
solenoid
valves
controlled
by
Python-programmed
microcontroller.
microcontroller
managed
cycling
'On'
'Off'
states
every
60
s
while
storing
transmitting
sensor
data
smartphone
application
remote
monitoring.
Commercial
current
sensors
measured
consumption,
enabling
identification
normal
abnormal
operations
applying
threshold
values
distinguish
activation
deactivation
states.
Analysis
control
commands,
effectively
detected
operations,
confirming
reliability
identifying
valve
failures.
For
second
channel
2,
333
actual
instances
operation
operation,
model
accurately
316
58
instances.
proposed
method
achieved
mean
average
precision
99.9%
detecting
1
99.7%
2.
approach
detects
malfunctions,
demonstrating
enhance
management
Future
research
will
integrate
advanced
machine
learning
improve
fault
detection
accuracy
evaluate
scalability
adaptability
larger
orchards
diverse
agricultural
applications.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102584 - 102584
Published: July 20, 2024
Irrigation
is
a
crucial
component
of
the
agriculture
industry.
The
gross
domestic
output
India
about
15
%
derived
from
its
farmers.
Crop
failure
common
among
farmers,
primarily
because
inadequate
irrigation
techniques
and
irregular
power
water
supplies.
To
begin
with,
survey
farmers
various
parts
was
undertaken
in
this
regard,
results
indicated
that
most
them
lacked
an
effective
system.
An
inventive
solar-powered
system
devised
deployed
to
address
problem
includes
automated
Internet
Things
(IoT)
This
IoT
system,
which
functions
based
on
moisture
content
soil,
plays
role
ensuring
crops
receive
right
amount
at
time.
Furthermore,
PV
pumping
addresses
issues
Indian
climate
conditions,
including
composite,
warm
humid,
cold,
moderate,
hot,
dry.
locations
chosen
for
these
conditions
are
Jaisalmer
Rajasthan,
Bangalore
Karnataka,
Itanagar
Arunachal
Pradesh,
Patna
Bihar,
Amaravati
Andhra
Pradesh.
Performance
ratios
range
0.514
0.739,
pump
efficiencies
61
88.80
%,
57.10
%–58.60
respectively.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102170 - 102170
Published: April 24, 2024
Sensor
faults
are
a
common
type
of
failure
in
heat
pump
systems,
which
can
seriously
affect
the
normal
operation
systems.
Self-correction
sensor
fault
system
is
crucial.
State-of-the-art
correction
methods
based
on
data-driven
and
physical
models
face
challenges,
such
as
need
for
co-located
sensors,
accurate
models,
large
amount
labeled
data,
greatly
limiting
their
applicability.
This
paper
proposes
using
machine
learning
self-correction.
Firstly,
data
self-correction
strategy
convolutional
autoencoder
introduced.
Furthermore,
an
artificial
sample
generation
proposed
to
address
scarcity
training
model.
The
results
demonstrate
that
method
effectively
self-corrects
both
single
multiple
faults.
Simultaneously,
thermal
diagnosis
evaluations
reveal
over
90%
accuracy
corrected
with
maximum
diagnostic
improvement
53.5%.
study
shows
number
parameters
crucial
effective
correction,
underscoring
over-constraint
essential
successful
