Estudios y Perspectivas Revista Científica y Académica,
Journal Year:
2025,
Volume and Issue:
5(1), P. 310 - 332
Published: Jan. 29, 2025
La
necesidad
por
alimentar
a
la
población
mundial
se
ha
convertido
en
un
desafío
nuestra
sociedad.
producción
agrícola
requiere
de
tecnificación
que
le
permita
cumplir
con
esta
población.
En
este
sentido
Big
Data
convierte
una
las
herramientas
relevantes
permiten
gestionar
y
optimizar
los
recursos
naturales
e
insumos
agrícolas
convirtiendo
actividades
el
campo
agricultura
inteligente
innova
mejora
resultados
producción.
El
presente
trabajo
busca
responder
pregunta
¿Cuáles
son
tendencias
actuales
aplicación
bigdata
inteligente?.
A
través
análisis
bibliométrico
buscamos
interrogante
determinar
brecha
investigación.
Los
alcanzados
nos
muestran
7
brechas
investigación:
bigdata,
blockchain,
smart
farming,
security,
artificial
intelligence
internet
of
things,
estos
determinantes
áreas
investigación
crecimiento
requieren
ser
exploradas
sus
permitirán
mejorar
producción,
alto
nivel
control
su
desarrollo
sostenible
sustentable.
AgriEngineering,
Journal Year:
2025,
Volume and Issue:
7(5), P. 137 - 137
Published: May 6, 2025
The
agricultural
sector
is
evolving
with
the
adoption
of
smart
farming
technologies,
where
Digital
Twins
(DTs)
offer
new
possibilities
for
real-time
monitoring,
simulation,
and
decision-making.
While
previous
research
has
explored
Internet
Things
(IoT),
UAVs,
machine
learning
(ML),
remote
sensing
(RS)
in
enhancing
efficiency,
a
systematic
approach
to
integrating
these
technologies
within
DTs
ecosystem
remains
underdeveloped.
This
paper
presents
review
167
studies
published
between
2018
2025.
objective
this
study
examine
recent
advancements
DTs-enabled
precision
agriculture
propose
comprehensive
framework
designing,
integrating,
optimizing
farming.
systematically
examines
current
state
DT
adoption,
identifies
key
barriers,
computational
efficiency
challenges,
provides
step-by-step
methodology
implementation.
sheds
light
on
potential
future
direction
implications
policy,
aim
speed
up
DTs-based
farm
management
systems
their
operational
success
commercial
viability
through
analysis
practical
applications
perspectives.
an
innovative
strategy
digital
physical
into
important
contribution
existing
literature.
The International Arab Journal of Information Technology,
Journal Year:
2024,
Volume and Issue:
21(4)
Published: Jan. 1, 2024
The
emergence
of
Autonomous
Vehicles
(AVs)
marks
a
significant
turning
point
in
the
future
transportation
and
reflects
radical
advancements
artificial
intelligence,
edge
computing,
advanced
sensing
systems,
control.
These
vehicles
have
sophisticated
sensors,
intelligence
computing
capabilities
that
enable
them
to
drive
operate
without
human
intervention.
They
rely
on
various
technologies
such
as
cameras,
radar,
GPS
obtain
precise
information
about
their
surroundings
make
real-time
decisions.
However,
AVs
face
several
unique
challenges.
depend
accurate
reliable
location
operate,
ensuring
safe
driving
decision-making.
One
major
challenges
is
central
positioning
systems
are
vulnerable
attacks,
security
breaches,
spoofing
signal
jamming,
which
can
tamper
with
vehicle
command
systems.
significance
accurately
determining
vehicle’s
lies
improving
precision,
efficient
decision-making,
enhanced
mobility
different
environments,
constant
communication
among
for
better
collective
performance.
In
this
research,
we
propose
an
engineering
model
based
mixed
collaboration
secure
measurement
autonomous
positioning.
This
enhances
cooperation
vehicles,
where
leader
obtains
its
through
satellite
identification,
rest
group
members
leader’s
determine
positions
highly
immune
manner
against
spoofing,
fraudulent
attacks.
Additionally,
ensure
strong
encryption
system
has
been
adopted
send
messages
within
proposed
framework,
higher
reliability.
technique
used
lightweight
robust
because
it
uses
only
one
operation
multiplication
exponential
operation.
Moreover,
network
traffic
analysis
complexity
algorithms
assessed
efficiency
effectiveness
framework.
