In
the
smart
industrial
era,
with
rise
of
AR/VR
technologies,
dense
deployments
IoTs
such
as
'head
mounted
displays'
and
'smart
glasses'
are
expected
to
become
pervasive.
For
IoT
client
deployments,
edge-server
based
video
streaming
framework
can
improve
network
performance
low
latency,
high
stable
throughput.
Such
enhancements
be
utilized
end-to-end
(application)
by
appropriately
designing
Adaptive
Bit
Rate
(ABR)
algorithm
that
also
takes
into
account
resource
constrained
nature
hosting
IoTs.
this
paper,
we
develop
one
friendly
deterministic
optimal
control
ABR
algorithm.
The
exponential
complexity
underlying
state
space
is
tackled
exploiting
problem
structure
yield
an
computationally-simple
namely,
Video
Streaming
for
(vStreamIT),
which
use
minimal
storage.
efficacy
proposed
vStreamIT
evaluated
against
art
shown
exhibit
improved
in
terms
bit-rate,
while
consuming
less
buffer
(a
critical
storage
constraint
IoTs).
Sensors,
Год журнала:
2023,
Номер
23(16), С. 7128 - 7128
Опубликована: Авг. 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.
Sustainable Production and Consumption,
Год журнала:
2024,
Номер
46, С. 161 - 179
Опубликована: Фев. 2, 2024
The
transition
of
Agri-Food
Supply
Chains
(AFSC)
toward
sustainable
patterns
able
to
secure
safe,
quality,
and
affordable
food
whilst
preserving
natural
anthropogenic
ecosystems
is
a
key
challenge
this
century.
Increasing
production
distribution
operations'
transparency
impact
visibility
uncovers
hidden
complexities
the
ecosystem's
externalities.
To
attempt,
paper
introduces
novel
Chain
digital
twin
(AFSC-DT)
virtualize
agricultural,
processing,
warehousing,
operations
holistically
from-field-to-consumer
estimate
economic,
logistic,
environmental,
safety,
nutritional
indicators
associated
with
any
order,
assumed
as
functional
unit.
AFSC-DT
behaves
control
tower,
providing
multi-dimensional
dashboard
labels
enhance
practitioners'
consumers'
knowledge
FSC
entities
operations.
practitioner's
drives
top-down
operational
tactical
feedback
controls
through
real-time
monitoring
a-posteriori
performance
analysis,
consumers,
their
informed
choices,
perform
strategic
bottom-up
pressure
on
industry
redesign.
A
what-if
simulation
analysis
conducted
over
four
virtual
scenarios
within
regional
horticultural
AFSC
proves
how
aids
decision-making
across
echelons,
stimulating
virtuous
cycle
favoring
progressive
more
patterns.
Comprehensive Reviews in Food Science and Food Safety,
Год журнала:
2024,
Номер
23(6)
Опубликована: Окт. 22, 2024
Abstract
Although
several
food‐related
fields
have
yet
to
fully
grasp
the
speed
and
breadth
of
fourth
industrial
revolution
(also
known
as
Industry
4.0),
growing
literature
from
other
sectors
shows
that
5.0
(referring
fifth
revolution)
is
already
underway.
Food
4.0
has
been
characterized
by
fusion
physical,
digital,
biological
advances
in
food
science
technology,
whereas
future
could
be
seen
a
more
holistic,
multidisciplinary,
multidimensional
approach.
This
review
will
focus
on
identifying
potential
enabling
technologies
harnessed
shape
coming
years.
We
state‐of‐the‐art
studies
use
innovative
various
agriculture
applications
over
last
5
In
addition,
opportunities
challenges
highlighted,
directions
conclusions
drawn.
Preliminary
evidence
suggests
outcome
an
evolutionary
process
not
revolution,
often
claimed.
Our
results
show
regenerative
and/or
conversational
artificial
intelligence,
Internet
Everything,
miniaturized
nanosensors,
4D
printing
beyond,
cobots
advanced
drones,
edge
computing,
redactable
blockchain,
metaverse
immersive
techniques,
cyber‐physical
systems,
digital
twins,
sixth‐generation
wireless
beyond
are
likely
among
main
driving
5.0.
framework,
vision,
value
becoming
popular
research
topics
academic
fields,
agri‐food
sector
just
started
embrace
some
aspects
dimensions
Electronics,
Год журнала:
2024,
Номер
13(11), С. 2209 - 2209
Опубликована: Июнь 5, 2024
Digital
twin
technology
is
expected
to
transform
agriculture.
By
creating
the
virtual
representation
of
a
physical
entity,
it
assists
food
producers
in
monitoring,
predicting,
and
optimizing
production
process
remotely
even
autonomously.
However,
progress
this
area
relatively
slower
than
industries
like
manufacturing.
A
systematic
investigation
agricultural
digital
twins’
current
status
imperative.
With
seventy
published
papers,
work
elaborated
on
studies
targeting
twins
from
overall
trends,
focused
areas
(including
domains,
processes,
topics),
reference
architectures,
open
questions,
which
could
help
scholars
examine
their
research
agenda
support
further
development
Applied System Innovation,
Год журнала:
2025,
Номер
8(2), С. 38 - 38
Опубликована: Март 17, 2025
Integrating
Artificial
Intelligence
(AI)
and
Extended
Reality
(XR)
technologies
into
agriculture
presents
a
transformative
opportunity
to
modernize
education
sustainable
food
production.
Traditional
training
remains
resource-intensive,
time-consuming,
geographically
restrictive,
limiting
scalability.
This
study
explores
an
AI-driven
Digital
Twin
(DT)
system
embedded
within
gamified
XR
environment
designed
enhance
decision-making,
resource
management,
practical
in
viticulture
as
well
woody
crop
management.
A
survey
among
stakeholders
the
viticultural
sector
revealed
that
participants
are
increasingly
open
adopting
Virtual
(VR)
combined
with
AI-enhanced
technologies,
signaling
readiness
for
digital
learning
transformation
field.
The
4.48/7
willingness
adopt
XR-based
training,
4.85/7
interest
solutions
precision
agriculture,
moderate
climate
change
concern
of
4.16/7,
indicating
strong
transformation.
Our
findings
confirm
combining
AI-powered
virtual
educators
DT
simulations
provides
interactive,
real-time
feedback,
allowing
users
experiment
vineyard
management
strategies
risk-free
setting.
Unlike
previous
studies
focusing
on
monitoring
or
AI-based
decision
support,
this
examines
potential
Twins
(DTs)
personal
assistants
improve
overall
productivity
agriculture.
Proof-of-concept
implementations
Unity
Oculus
Quest
3
demonstrate
how
NPC
can
personalize
simulate
adaptation
strategies,
stakeholder
engagement.
research
employs
design-oriented
approach,
integrating
feedback
from
industry
experts
end-users
refine
educational
applications
DTs
Furthermore,
highlights
proof-of-concept
using
cross
game
engine
platform,
showcasing
environments
where
students
interact
simulated
settings.
innovations
support
farmers
enhancing
yields
play
important
role
educating
next
generation
farmers.
Intelligent Transportation Infrastructure,
Год журнала:
2023,
Номер
2
Опубликована: Янв. 1, 2023
Abstract
The
concept
of
digital
twin
(DT)
has
emerged
as
a
trend
in
various
industries
development,
enabling
the
creation
virtual
models
physical
objects.
We
conduct
systematic
review
DT
technology
field
transportation
infrastructure
management
from
aspects
definition,
whole
life
cycle
application,
advanced
technology,
and
equipment
utilization,
well
challenges.
begin
with
an
introduction
that
defines
its
components,
while
also
distinguishing
it
building
information
modeling
cyber-physical
systems.
explore
diverse
applications
throughout
lifecycle
highlight
significance
structural
monitoring,
operation
maintenance,
dataset
expansion.
further
investigate
techniques
associated
focusing
on
importance
parts,
data
acquisition,
transmission,
multi-source
fusion
processing,
security
dynamic
updating
for
effective
integration
utilization
management.
identify
key
challenges
faced
by
propose
future
trends
study.
This
comprehensive
serves
valuable
resource
researchers,
practitioners,
decision-makers
understanding
potential
Frontiers in Plant Science,
Год журнала:
2024,
Номер
14
Опубликована: Янв. 16, 2024
Historically,
plant
and
crop
sciences
have
been
quantitative
fields
that
intensively
use
measurements
modeling.
Traditionally,
researchers
choose
between
two
dominant
modeling
approaches:
mechanistic
growth
models
or
data-driven,
statistical
methodologies.
At
the
intersection
of
both
paradigms,
a
novel
approach
referred
to
as
“
simulation
intelligence
”,
has
emerged
powerful
tool
for
comprehending
controlling
complex
systems,
including
plants
crops.
This
work
explores
transformative
potential
science
community
nine
motifs,
from
understanding
molecular
processes
optimizing
greenhouse
control.
Many
these
concepts,
such
surrogate
agent-based
modeling,
gained
prominence
in
sciences.
In
contrast,
some
open-ended
optimization
program
synthesis,
still
need
be
explored
further.
The
motifs
can
potentially
revolutionize
breeding
precision
farming
towards
more
sustainable
food
production.
