IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 75337 - 75365
Published: Jan. 1, 2024
The
transformation
to
Industry
4.0
also
transforms
the
processes
of
developing
intelligent
manufacturing
production
systems.
Digital
twins
may
be
employed
advance
development
these
new
(embedded)
software
However,
there
is
no
consensual
definition
what
a
digital
twin
is.
In
this
paper,
we
provide
an
overview
current
state
concept
and
formalize
using
Object-Z
notation.
This
formalization
includes
concepts
physical
twins,
models,
templates,
threads,
shadows,
prototypes.
relationships
between
all
are
visualized
as
class
diagrams
Unified
Modeling
Language.
Our
prototype
approach
supports
engineers
in
automated
testing
complex
embedded
enables
test
systems
virtual
context
without
need
connection
object.
continuous
integration
/
deployment
pipelines,
such
prototypes
can
used
for
and,
thus,
allow
agile
verification
validation
process.
demonstrate
report
on
application
implementation
example
two
real-world
field
studies
(ocean
observation
smart
farming).
For
independent
replication
extension
our
by
other
researchers,
laboratory
study
published
open
source
GitHub.
Applied System Innovation,
Journal Year:
2022,
Volume and Issue:
5(4), P. 65 - 65
Published: July 7, 2022
A
newly
introduced
term
in
the
field
of
simulating
an
artificial
or
physical
system
is
that
“Digital
Twin”
concept
method.
It
employs
a
digital
representation
and
modeling
method,
capable
expanding
improving
life
cycle
complex
items,
systems,
processes.
Nowadays,
twin
technology
has
become
key
research
worldwide.
In
this
context,
it
applied
utilized
various
fields.
One
such
automotive
industry,
technological
great
implications
users’
everyday
life.
Digital
not
only
contributions
from
initial
stages
design
until
final
construction
vehicles,
but
also
during
its
use,
drawing
useful
information
daily
functions
making
driving
experience
more
enjoyable,
comfortable,
safe.
worth
noting
vehicles
can
greatly
benefit
use
twins
are
electric
which
tended
to
acquire
greater
shares
last
decade.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(16), P. 7128 - 7128
Published: Aug. 11, 2023
Digital
Twins
serve
as
virtual
counterparts,
replicating
the
characteristics
and
functionalities
of
tangible
objects,
processes,
or
systems
within
digital
space,
leveraging
their
capability
to
simulate
forecast
real-world
behavior.
They
have
found
valuable
applications
in
smart
farming,
facilitating
a
comprehensive
replica
farm
that
encompasses
vital
aspects
such
crop
cultivation,
soil
composition,
prevailing
weather
conditions.
By
amalgamating
data
from
diverse
sources,
including
soil,
plants
condition,
environmental
sensor
networks,
meteorological
predictions,
high-resolution
UAV
Satellite
imagery,
farmers
gain
access
dynamic
up-to-date
visualization
agricultural
domains
empowering
them
make
well-informed
timely
choices
concerning
critical
like
efficient
irrigation
plans,
optimal
fertilization
methods,
effective
pest
management
strategies,
enhancing
overall
productivity
sustainability.
This
research
paper
aims
present
overview
contemporary
state
on
twins
modelling,
precision
agriculture,
associated
technologies,
while
exploring
potential
impact
practices,
addressing
challenges
limitations
privacy
concerns,
need
for
high-quality
accurate
simulations
complexity
integrating
multiple
sources.
Lastly,
explores
prospects
highlighting
avenues
future
advancement
this
domain.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(13), P. 7405 - 7405
Published: June 22, 2023
The
world’s
population
has
reached
8
billion
and
is
projected
to
reach
9.7
by
2050,
increasing
the
demand
for
food
production.
Artificial
intelligence
(AI)
technologies
that
optimize
resources
increase
productivity
are
vital
in
an
environment
tensions
supply
chain
increasingly
frequent
weather
events.
This
study
performed
a
systemic
review
of
literature
using
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
methodology
on
artificial
applied
agriculture.
It
retrieved
906
relevant
studies
from
five
electronic
databases
selected
176
bibliometric
analysis.
quality
appraisal
step
17
analysis
benefits,
challenges,
trends
AI
used
work
showed
evolution
area
with
increased
publications
over
last
years,
more
than
20
different
techniques
analyzed,
machine
learning,
convolutional
neural
networks,
IoT,
big
data,
robotics,
computer
vision
being
most
technologies.
Considering
worldwide
scope,
countries
highlighted
were
India,
China,
USA.
Agricultural
sectors
included
crop
management
prediction
disease
pest
management.
Finally,
it
presented
challenges
promising
when
considering
future
directions
Electronics,
Journal Year:
2023,
Volume and Issue:
12(12), P. 2651 - 2651
Published: June 13, 2023
Throughout
human
history,
agriculture
has
undergone
a
series
of
progressive
transformations
based
on
ever-evolving
technologies
in
an
effort
to
increase
productivity
and
profitability.
Over
the
years,
farming
methods
have
evolved
significantly,
progressing
from
Agriculture
1.0,
which
relied
primitive
tools,
2.0,
incorporated
machinery
advanced
practices,
subsequently
3.0,
emphasized
mechanization
employed
intelligent
technology
enhance
levels.
To
further
automate
agricultural
while
minimizing
inputs
pollutants,
new
approach
management
concepts
fourth
industrial
revolution
is
being
embraced
gradually.
This
referred
as
“Agriculture
4.0”
mainly
implemented
through
use
Internet
Things
(IoT)
technologies,
enabling
remote
control
sensors
actuators
efficient
collection
transfer
data.
In
addition,
fueled
by
such
robotics,
artificial
intelligence,
quantum
sensing,
four-dimensional
communication,
form
smart
agriculture,
called
5.0,”
now
emerging.
5.0
can
exploit
growing
5G
network
infrastructure
basis.
However,
only
6G-IoT
networks
will
be
able
offer
technological
advances
that
allow
full
expansion
5.0,
inferred
relevant
scientific
literature
research.
this
article,
we
first
introduce
scope
well
key
features
leveraged
much-anticipated
communication
systems.
We
then
highlight
importance
influence
these
developing
advancement
conclude
with
discussion
future
challenges
opportunities.
Smart Agricultural Technology,
Journal Year:
2023,
Volume and Issue:
5, P. 100255 - 100255
Published: May 17, 2023
Future
agricultural
systems
should
increase
productivity
and
sustainability
of
food
production
supply.
For
this,
integrated
efficient
capture,
management,
sharing,
use
environmental
data
from
multiple
sources
is
essential.
However,
there
are
challenges
to
understand
efficiently
different
types
sources,
which
differ
in
format
time
interval.
In
this
regard,
the
role
emerging
technologies
considered
be
significant
for
gathering,
analyses
use.
study,
a
concept
was
developed
facilitate
full
integration
digital
enhance
future
smart
sustainable
systems.
The
has
been
based
on
results
literature
review
diverse
experiences
expertise
enabled
identification
stat-of-the-art
technologies,
knowledge
gaps.
features
proposed
solution
include:
collection
methodologies
using
tools;
platforms
handling
sharing;
application
Artificial
Intelligent
analysis;
edge
cloud
computing;
Blockchain,
decision
support
system;
governance
security
system.
study
identified
potential
positive
implications
i.e.
implementation
could
value,
farm
productivity,
effectiveness
monitoring
operations
making,
provide
innovative
business
models.
contribute
an
overall
competitiveness,
sustainability,
resilience
sector
as
well
transformation
agriculture
rural
areas.
This
also
provided
research
direction
relation
concept.
will
benefit
researchers,
practitioners,
developers
tools,
policy
makers
supporting
transition
smarter
more
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e26503 - e26503
Published: Feb. 21, 2024
A
Digital
Twin
(DT)
is
a
digital
copy
or
virtual
representation
of
an
object,
process,
service,
system
in
the
real
world.
It
was
first
introduced
to
world
by
National
Aeronautics
and
Space
Administration
(NASA)
through
its
Apollo
Mission
'60s.
can
successfully
design
object
from
physical
counterpart.
However,
main
function
twin
provide
bidirectional
data
flow
between
entity
so
that
it
continuously
upgrade
state-of-the-art
iterative
method
for
creating
autonomous
system.
Data
brain
building
block
any
The
articles
are
found
online
cover
individual
field
two
at
time
regarding
analysis
technology.
There
no
overall
studies
this
manner
online.
purpose
study
overview
level
system,
involves
various
phases.
This
paper
will
comparative
among
all
fields
which
twins
have
been
applied
recent
years.
works
with
vast
amount
data,
needs
be
organized,
stored,
linked,
put
together,
also
motive
our
study.
essential
models,
making
cyber-physical
connections,
running
intelligent
operations.
current
development
status
challenges
present
different
phases
discussed.
outlines
how
DT
used
fields,
like
manufacturing,
urban
planning,
agriculture,
medicine,
robotics,
military/aviation
industry,
shows
structure
based
on
every
sector
using
review
papers.
Finally,
we
attempted
give
horizontal
comparison
features
across
extract
commonalities
uniqueness
sectors,
shed
light
as
well
limitations
future
standpoint.
