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.
Agriculture,
Год журнала:
2025,
Номер
15(9), С. 903 - 903
Опубликована: Апрель 22, 2025
Digital
Twin
(DT)
technology
has
emerged
as
a
transformative
tool
in
various
sectors,
like
agriculture,
due
to
its
potential
improve
productivity,
sustainability,
and
decision
making
processes.
This
paper
provides
comprehensive
review
of
the
applications,
challenges,
future
directions
DT
agriculture.
We
explore
key
concepts
architecture
DTs,
focusing
on
layering
classification
systems.
The
delves
into
applications
such
crop
planting
management,
pest
disease
control,
livestock
optimization
agricultural
machinery
resource,
support
Furthermore,
we
highlight
integration
data
acquisition,
simulation,
modeling
techniques
that
form
backbone
effective
implementation.
Despite
promising
potential,
adoption
DTs
agriculture
faces
several
technical
including
acquisition
issues,
difficulties,
standardization
3D
models.
Finally,
discuss
direction
technology,
emphasizing
importance
overcoming
existing
barriers
for
wider
application
sustainability.
E3S Web of Conferences,
Год журнала:
2024,
Номер
472, С. 02007 - 02007
Опубликована: Янв. 1, 2024
The
field
of
supply
chain
management
has
experienced
heightened
complexity
in
the
context
globalization,
giving
rise
to
many
difficulties
pertaining
transparency,
traceability,
and
efficiency.
Blockchain
technology
emerged
as
a
possible
option
mitigate
these
challenges
by
offering
secure
unalterable
ledger
for
documenting
transactions
events
across
chain.
This
study
investigates
integration
blockchain
with
simulation
optimization
methodologies
order
boost
level
transparency
operations.
aims
explore
possibilities
models
provided
enhancing
inside
It
focuses
on
tracking
verification
flow
items,
information,
cash.
aforementioned
statement
underscores
advantages
technology,
specifically
terms
facilitating
real-time
data
sharing,
maintaining
tamper-proof
records,
employing
decentralized
consensus
methods.
research
paper
provides
an
exposition
case
studies
practical
implementations
blockchain-enabled
diverse
sectors.
These
examples
serve
demonstrate
potential
this
methodology
detecting
inefficiencies,
mitigating
risks,
improving
overall
efficacy.
instances
how
enterprises
can
acquire
competitive
advantage
through
utilization
augment
optimize
their
Systems Research and Behavioral Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 16, 2024
Abstract
The
Internet
of
Things
(IoT)
constitutes
a
network
physical
objects,
including
devices
and
systems,
capable
intercommunication
both
among
themselves
with
external
systems
via
the
Internet.
Its
applications
span
across
various
sectors
such
as
manufacturing,
medicine,
commerce,
security,
forestry
agriculture.
application
IoT
in
agriculture
involves
gathering
data
from
diverse
sensors,
offering
timely
precise
solutions.
This
technology
facilitates
reduction
manual
labour
involved
tasks
like
animal
monitoring,
greenhouse
management
field
surveillance.
Integrated
sensors
within
framework
enable
collection
pertaining
to
soil,
air,
water,
tracking,
plant
growth
other
relevant
metrics.
Nevertheless,
swift
evolution
presents
susceptibility
unauthorized
access
compromises
security.
To
address
this
concern,
utilization
blockchain
has
been
recommended.
paper
proposes
novel
architecture
integrated
enhance
security
agricultural
applications.
A
detailed
schematic
devised
implemented
software
illustrate
approach.
Heliyon,
Год журнала:
2024,
Номер
10(17), С. e36808 - e36808
Опубликована: Авг. 24, 2024
This
study
leverages
the
BERTopic
algorithm
to
analyze
evolution
of
research
within
precision
agriculture,
identifying
37
distinct
topics
categorized
into
eight
subfields:
Data
Analysis,
IoT,
UAVs,
Soil
and
Water
Management,
Crop
Pest
Livestock,
Sustainable
Agriculture,
Technology
Innovation.
By
employing
BERTopic,
based
on
a
transformer
architecture,
this
enhances
topic
refinement
diversity,
distinguishing
it
from
traditional
reviews.
The
findings
highlight
significant
shift
towards
IoT
innovations,
such
as
security
privacy,
reflecting
integration
smart
technologies
with
agricultural
practices.
Notably,
introduces
comprehensive
popularity
index
that
integrates
trend
intensity
proportion,
providing
nuanced
insights
dynamics
across
countries
journals.
analysis
shows
regions
robust
development,
USA
Germany,
are
advancing
in
like
Machine
Learning
while
diversity
topics,
assessed
through
information
entropy,
indicates
varied
global
scope.
These
assist
scholars
institutions
selecting
directions
provide
newcomers
an
understanding
field's
dynamics.
Journal of Asia Business Studies,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 22, 2024
Purpose
While
the
application
of
blockchain
technology
in
organic
food
supply
chain
has
been
increasingly
recognized,
extant
knowledge
how
blockchain-driven
traceability
influences
consumer
perceptions
and
purchase
intentions
remains
underexplored.
Grounded
stimulus-organism-response
theory,
this
study
aims
to
construct
a
moderated
mediation
model
examine
blockchain-enabled
traceability’s
direct
indirect
impacts
on
intention
through
perceived
blockchain-related
information
transparency,
considering
moderating
role
blockchain-based
trust.
Design/methodology/approach
A
purposive
sample
5,326
Vietnamese
consumers
was
surveyed
using
PROCESS
macro
test
proposed
hypotheses.
Findings
The
findings
indicate
that
significantly
enhances
which
positively
intention.
Furthermore,
trust
found
moderate
both
effect
transparency
impact
transparency.
Practical
implications
managerial
insights
for
stakeholders
sector
are
also
discussed.
Originality/value
These
results
contribute
literature
by
extending
context
chains
highlighting
critical
effectiveness
technological
innovations.
Foods,
Год журнала:
2024,
Номер
13(22), С. 3607 - 3607
Опубликована: Ноя. 11, 2024
The
United
Arab
Emirates
(UAE)
faces
obstacles
in
guaranteeing
food
security
because
of
its
desert
climate,
restricted
arable
land,
and
significant
reliance
on
imports.
Establishing
a
robust
transparent
supply
chain
is
crucial.
This
study
investigates
the
crucial
functions
blockchain
technology
protecting
improving
UAE.
Using
bibliographic
co-citation
network
analyses,
this
examines
143
research
articles
that
provide
thorough
review
current
status
relation
to
security.
We
examine
interrelationships
among
studies,
highlighting
themes
identifying
three
emerging
patterns
incorporation
into
domain.
enhances
understanding
how
can
transform
dimensions
availability,
accessibility,
utilization,
stability
UAE
worldwide.
Financial and credit activity problems of theory and practice,
Год журнала:
2024,
Номер
6(59), С. 613 - 632
Опубликована: Дек. 30, 2024
У
статті
описане
дослідження
інструментів
управління
інноваційно
орієнтованими
кластерними
бізнес-агроструктурами,
які
функціонують
в
умовах
смарт-економіки,
та
оцінювання
їх
із
особливим
фокусом
на
аграрний
сектор,
де
впровадження
інновацій
і
новітніх
технологій
є
вирішальним
фактором
для
підвищення
ефективності
стійкості.
Розглянуто
основні
підходи
до
інтеграції
смарт-технологій
у
виробничі
управлінські
процеси
агропромислових
кластерів,
що
дозволяє
суттєво
оптимізувати
операційну
діяльність,
знижувати
витрати
підвищувати
конкурентоспроможність
продукції.
Дослідження
акцентує
увагу
тому,
як
інноваційні
рішення
й
технологічні
досягнення
можуть
сприяти
побудові
гнучких
адаптивних
бізнес-моделей,
підтримують
ефективність
діяльності
сталий
розвиток
підприємств.
Упровадження
таких
аграрні
кластери
сприяє
підвищенню
екологічної
стійкості,
знижуючи
негативний
вплив
довкілля
через
оптимізацію
ресурсів
зменшення
викидів.
Результати
містять
практичні
рекомендації
агропідприємств,
працюють
складі
щодо
ефективного
інноваційних
підтримки
економічної
соціальної
стійкості
сучасної
смарт-економіки.
Такі
орієнтовані
інноваційного
потенціалу
підприємств,
їхньої
продуктивності
адаптивності
динамічного
середовища
агропромислового
ринку.
Стаття
пропонує
стратегічних
інновацій,
допомагають
аграрним
кластерам
краще
пристосуватися
вимог
сучасного
ринку
стати
конкурентоспроможними
глобальному
рівні,
забезпечуючи
при
цьому
економічний
екологічний
розвиток.