Agriculture,
Год журнала:
2024,
Номер
14(6), С. 900 - 900
Опубликована: Июнь 6, 2024
The
increasing
prominence
of
climate
change,
geopolitical
crises,
and
global
economic
slowdown
highlights
the
challenges
structural
deficiencies
traditional
cross-border
agro-food
supply
chains.
As
a
result,
there
has
been
growing
consensus
on
need
to
leverage
digital
technology
rebuild
innovate
safe,
stable,
sustainable
food
system.
This
study
assessed
knowledge
progress
development
trends
in
chains
enabled
by
technology.
A
total
352
authoritative
papers
from
core
Web
Science
database
were
selected
for
analysis.
Citespace
tool
was
utilized
visually
examine
research
elements.
findings
reveal
that
outcomes
this
territory
experienced
significant
period
rapid
growth,
particularly
after
2020.
Sustainability
IEEE
Access
are
journals
with
highest
second-highest
number
publications.
China
France
National
Institute
countries
institutions
largest
publications
field.
hotspots
mainly
application
technologies,
safety,
chain
system
model
innovation.
In
past
ten
years,
gone
through
three
stages:
precise
timeliness
orientation,
intelligent
strategic
decision-making
predictability
orientation.
We
further
construct
‘antecedent–practice–performance’
conceptual
framework
sustainability
technology-enabled
chain.
Finally,
paper
presents
potential
directions
territory,
focusing
four
aspects:
method,
mechanism,
topic,
frontier.
Foods,
Год журнала:
2024,
Номер
13(4), С. 506 - 506
Опубликована: Фев. 6, 2024
The
global
food
systems
face
significant
challenges
driven
by
population
growth,
climate
change,
geopolitical
conflicts,
crises,
and
evolving
consumer
preferences.
Intending
to
address
these
challenges,
optimizing
production,
adopting
sustainable
practices,
developing
technological
advancements
are
essential
while
ensuring
the
safety
public
acceptance
of
innovations.
This
review
explores
complex
aspects
future
food,
encompassing
security,
climate-resilient
digitalized
supply
chain,
alternative
protein
sources,
processing,
technology,
impact
biotechnology,
cultural
diversity
culinary
trends,
health
personalized
nutrition,
production
within
circular
bioeconomy.
article
offers
a
holistic
perspective
on
industry
characterized
innovation,
adaptability,
shared
commitment
system
resilience.
Achieving
sustainable,
nutritious,
environmentally
friendly
in
involves
comprehensive
changes
various
including
innovative
farming
processing
technologies,
Industry
4.0
applications,
as
well
approaches
that
redefine
how
we
consume
food.
Advances in Human Biology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Abstract
The
issue
of
food
security
amongst
older
people
is
a
growing
concern,
as
ageing
populations
face
unique
challenges
that
impact
their
access
to
adequate
nutrition.
This
scoping
review
aims
explore
and
synthesise
existing
literature
on
in
later
life,
identifying
key
factors
contributing
insecurity
seniors
highlighting
interventions
can
enhance
access.
By
employing
systematic
approach
based
Arksey
O’Malley’s
framework,
this
study
examines
research
from
multiple
databases,
focussing
studies
published
the
past
decade.
findings
reveal
multifaceted
problem
influenced
by
socio-economic
status,
health
limitations,
social
isolation
geographic
barriers.
Elderly
individuals
often
encounter
mobility
issues
hinder
ability
procure
food,
while
fixed
incomes
rising
costs
exacerbate
nutritious
options.
In
addition,
identifies
successful
community-based
programmes
policy
initiatives
have
shown
promise
addressing
these
challenges,
emphasising
importance
tailored
consider
specific
needs
people.
analysis
highlights
significant
gaps
current
literature,
particularly
areas
culturally
sensitive
long-term
effects
mental
health.
Furthermore,
role
technology
mitigating
presents
promising
yet
underexplored
avenue
for
future
research.
underscores
critical
need
comprehensive
strategies
integrating
policy,
community
support
technological
innovations
effectively
combat
seniors.
issues,
stakeholders
improve
overall
quality
life
outcomes
elderly
population,
ensuring
nutritional
are
met
sustainably.
Information,
Год журнала:
2025,
Номер
16(2), С. 79 - 79
Опубликована: Янв. 22, 2025
The
application
of
modern
machine
learning
methods
in
industrial
settings
is
a
relatively
new
challenge
and
remains
the
early
stages
development.
Current
computational
power
enables
processing
vast
numbers
production
parameters
real
time.
This
article
presents
practical
analysis
welding
process
robotic
cell
using
unsupervised
HDBSCAN
algorithm,
highlighting
its
advantages
over
classical
k-means
algorithm.
paper
also
addresses
problem
predicting
monitoring
undesirable
situations
proposes
use
real-time
graphical
representation
noisy
data
as
particularly
effective
solution
for
managing
such
issues.
