Every
country's
main
pillar
is
its
agricultural
industry,
which
produces
almost
fifty
percent
of
the
world's
economic
growth.
It
impossible
to
overstate
importance
accurate
farming
in
evaluating
crop
status
and
choosing
efficient
solutions
for
various
pest
problems.
The
traditional
approach
detection
unstable
forecasts
with
poor
precision.
However,
these
surveillance
methods
typically
display
intrusiveness,
demand
a
lot
time
money,
are
subject
different
preconceptions.
pests
produce
sounds,
can
be
captured
little
investment
or
effort
using
IoT
networks.
automatic
identification
categorization
sounds
made
possible
by
deep
learning
algorithms,
improving
assessment
species
distribution
ranges,
monitoring
nature.
IoT-driven
computerized
components
used
this
research's
unique
system
use
incorporated
machine
techniques
on
collection
audio
recordings
insect
sounds.
Butterworth
filter,
Blackman
Flattop
window,
Ultraspherical
Filter,
Rife-Vincent
Window,
Cosine-Tapered
FFT,
DFT,
STFT,
PNCC,
RASTA-PLPCC,
LSFCC,
sound
detectors,
PID
sensors
were
couple
used.
HFDLNet
was
utilized
planned
study
training,
testing,
validation,
7,200
from
72
types
examined
identify
their
special
features
statistical
properties.
recommended
model
achieves
99.87%
accuracy
rate,
sensitivity
99.96%,
specificity
99.88%,
recall
an
F1
score
99.93%,
precision
99.98%.
This
research
shows
substantial
improvements
over
earlier
academic
studies,
such
as
Inception-ResNet-v2,
FRCNN
ResNet-50,
Fatser-PestNet,
MD-YOLO,
YOLOv5m,
MAM-IncNet,
Xception.
proposed
has
networks
analysis
create
build
prevention
control
strategy
also
constructed
solar-powered
generator
that
provide
electricity
devices
within
situated
across
expansive
fields.
Journal of Sensor and Actuator Networks,
Год журнала:
2024,
Номер
13(4), С. 39 - 39
Опубликована: Июль 8, 2024
This
paper
explores
the
potential
of
smart
crop
management
based
on
incorporation
tools
like
digital
agriculture,
which
considers
current
technological
applied
in
such
as
Internet
Things
(IoT),
remote
sensing,
and
artificial
intelligence
(AI),
to
improve
production
efficiency
sustainability.
is
essential
context
varying
climatic
conditions
that
affect
availability
resources
for
agriculture.
The
integration
IoT
sensor
networks
can
allow
farmers
obtain
real-time
data
their
crops,
assessing
key
health
factors,
soil
conditions,
plant
water
status,
presence
pests,
environmental
among
others,
finally
result
data-based
decision-making
optimize
irrigation,
fertilization,
pest
control.
Also,
this
be
enhanced
by
incorporating
drones
unmanned
aerial
vehicles
(UAVs),
increase
monitoring
capabilities
through
comprehensive
field
surveys
high-precision
growth
tracking.
On
other
hand,
big
analytics
AI
are
crucial
analyzing
extensive
datasets
uncover
patterns
trends
provide
valuable
insights
improving
agricultural
practices.
highlights
advancements
applications
management,
addressing
challenges
barriers
global
adoption
these
new
types
technologies
emphasizing
need
ongoing
research
collaboration
achieve
sustainable
efficient
production.
IEEE Sensors Journal,
Год журнала:
2024,
Номер
24(13), С. 20289 - 20311
Опубликована: Май 17, 2024
The
advent
of
the
5G
era
means
that
concepts
robot,
VR/AR,
UAV,
smart
home,
healthcare
based
on
IoT
(Internet
Things)
have
gradually
entered
human
life.
Since
then,
intelligent
life
has
become
dominant
direction
social
development.
Humidity
sensors,
as
humidity
detection
tools,
not
only
convey
comfort
living
environment,
but
also
display
great
significance
in
fields
meteorology,
medicine,
agriculture
and
industry.
Graphene-based
materials
exhibit
tremendous
potential
sensing
owing
to
their
ultra-high
specific
surface
area
excellent
electron
mobility
under
room
temperature
for
application
sensing.
This
review
begins
with
introduction
examples
various
synthesis
strategies
graphene,
followed
by
device
structure
working
mechanism
graphene-based
sensor.
In
addition,
several
different
structural
design
methods
graphene
are
summarized,
demonstrating
can
optimize
performance
bring
significant
advantages
Finally,
key
challenges
hindering
further
development
practical
high-performance
sensors
discussed,
presenting
future
perspectives.
IET Collaborative Intelligent Manufacturing,
Год журнала:
2024,
Номер
6(2)
Опубликована: Июнь 1, 2024
Abstract
Agritech
uses
advanced
technologies
to
boost
the
efficiency,
sustainability,
and
productivity
of
farming.
The
Internet
Things
(IoT)
in
agriculture
has
brought
sensors
networked
technology
gather
analyse
environmental
crop
data,
enabling
precision
farming
that
optimises
resource
usage
increases
yields.
Yet,
current
agricultural
methods
suffer
from
unsecured
decentralised
data
management,
causing
inefficiencies
complicating
traceability
across
supply
chain.
integration
IoT
with
blockchain
is
seen
as
a
promising
solution
enhance
data‐driven
agriculture.
Blockchain
provides
secure,
decentralised,
transparent
ledger
enhances
integrity,
reduces
fraud,
improves
traceability,
which
complements
applications.
authors
detail
development
an
innovative
system
orchestrates
facilitate
adoption
new
overcomes
lacked
comprehensive
connectivity.
It
outlines
conceptual
framework
its
preliminary
empirical
implementation.
consists
three
integrated
layers:
layer,
creates
digital
twins
field
crops;
secures
manages
external
stakeholders
for
dynamic
applications
such
track
tracing;
orchestration
fuses
physical
optimise
business
models,
chain
productivity,
support
governmental
policy‐making,
thereby
improving
food
sector
innovation.
Journal of Machine and Computing,
Год журнала:
2025,
Номер
unknown, С. 483 - 495
Опубликована: Янв. 3, 2025
The
rapid
proliferation
of
Internet
Things
(IoT)
networks
has
significantly
advanced
various
sectors
such
as
smart
cities,
healthcare,
and
industrial
automation,
but
it
also
introduced
substantial
security
challenges.
Protecting
data
integrity,
confidentiality,
availability
in
these
is
critical,
yet
traditional
measures
often
fall
short
due
to
the
decentralized
resource-constrained
nature
IoT
devices.
Low-Energy
Adaptive
Clustering
Hierarchy
(LEACH)
protocol,
designed
optimize
energy
consumption
sensor
networks,
lacks
intrinsic
features.
To
address
challenges,
this
paper
proposes
a
novel
approach
that
integrates
LEACH
with
Distributed
Ledger
Technology
(DLT),
specifically
blockchain.
Blockchain’s
immutable
ledger
can
enhance
integrity
within
networks.
methodology
involves
modifying
incorporate
blockchain
for
secure
transmission.
In
clustering
phase,
forms
clusters
designates
cluster
head
(CH)
aggregation
Each
CH
maintains
local
log
verify
transactions
its
cluster,
using
consensus
mechanism
ensure
integrity.
Smart
contracts
are
implemented
automate
policies
detect
anomalies,
while
encryption
digital
signatures
provide
additional
layers.
Simulations
NS-3
simulator
showed
promising
results:
was
reduced
by
18%
compared
LEACH,
latency
increased
5%
processing
overhead,
throughput
improved
12%,
metrics
indicated
25%
improvement
30%
reduction
successful
attack
attempts.
conclusion,
integrating
algorithm
enhances
efficiency
This
leverages
optimization
robust
framework
blockchain,
offering
scalable
solution
diverse
applications.
Future
research
will
focus
on
optimizing
operations
reduce
further
exploring
model's
applicability
scenarios.
Agriculture
is
one
of
the
major
sectors
that
have
been
considered
to
be
essential
ensuring
food
security.
The
world's
population
growing,
and
there
are
many
natural
factors
make
nourishing
billions
people
challenging.
application
Internet
Things
(IoT)
in
agriculture
revolutionizing
field
creating
opportunities
for
accurate
monitoring
data-driven
farming.
with
sensors
unmanned
aircraft,
which
helps
tracking
farming
lands
based
on
phenomenon
humidity,
crop
performance,
livestock,
temperature
termed
as
Farming
4.0.
This
research
chapter
holds
smart
concept
highlights
usage
its
evolutionary
concept.
nominally
increases
output,
year
2050
predicted
shortage
due
growing
population,
traditional
methods,
outdated
skills
farmers
pattern.
fine
goal
has
led
enlarged
connectivity
between
digital
scale
marketed
items
using
internet.
loss
reduction
increase
yield
values
determined
by
process
gathering
data
continuously
a
precise
level
monitoring.
By
considering
periodic
current
trends,
predict
disease
outbreaks
enhancing
consumer
preferences
methods.
Making
decisions
strategic
choosing
best
plan.
Managing
strategies
remote
locations
IoT
providing
real-time
access
web
alerts
responding
outbreak
high
range
accuracy
at
nominal
preferences.
made
possible
connecting
land.
storage
conditions
optimizing
shipments
agricultural
supply
chain
values.
ensures
producing
high-
quality
waste
efficiency
process.
gathered
artificial
intelligence
various
training
procedures
help
supporting
system
packed,
thus
highlighting
suggestions
insights.
agro-based
sensor
devices
used
evaluation
connected
farming,
service
types,
readiness
actual
technological
levels
chosen
practicing.
results
framed
investigating
technologies
such
machine
learning
embedded
robotic
systems
Things.
Thus,
embracing
security
protocols
protect
assets
farmland
fostering
long-term
viability.
future
lies
leveraging
global
IoT,
achieving
improved
choices
suitable
practices.
