AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions
Sensors,
Год журнала:
2025,
Номер
25(7), С. 2147 - 2147
Опубликована: Март 28, 2025
Food
computing
refers
to
the
integration
of
digital
technologies,
such
as
artificial
intelligence
(AI),
Internet
Things
(IoT),
and
data-driven
approaches,
address
various
challenges
in
food
sector.
It
encompasses
a
wide
range
technologies
that
improve
efficiency,
safety,
sustainability
systems,
from
production
consumption.
represents
transformative
approach
addressing
sector
by
integrating
AI,
IoT,
methodologies.
Unlike
traditional
which
primarily
focus
on
leverages
AI
for
intelligent
decision
making
IoT
real-time
monitoring,
enabling
significant
advancements
areas
supply
chain
optimization,
personalized
nutrition.
This
review
highlights
applications,
including
computer
vision
recognition
quality
assessment,
Natural
Language
Processing
recipe
analysis,
predictive
modeling
dietary
recommendations.
Simultaneously,
enhances
transparency
efficiency
through
data
collection,
device
connectivity.
The
convergence
these
relies
diverse
sources,
images,
nutritional
databases,
user-generated
logs,
are
critical
traceability
tailored
solutions.
Despite
its
potential,
faces
challenges,
heterogeneity,
privacy
concerns,
scalability
issues,
regulatory
constraints.
To
these,
this
paper
explores
solutions
like
federated
learning
secure
on-device
processing
blockchain
transparent
traceability.
Emerging
trends,
edge
analytics
sustainable
practices
powered
AI-IoT
integration,
also
discussed.
offers
actionable
insights
advance
innovative
ethical
technological
frameworks.
Язык: Английский
Urban Climate Resilience in MENA Region: Opportunities and Challenges of Nature-Based Solutions
Springer eBooks,
Год журнала:
2024,
Номер
unknown, С. 1 - 23
Опубликована: Янв. 1, 2024
Язык: Английский
Transition Toward Sustainability in the Moroccan Food System: Drivers, Outcomes, and Challenges
World,
Год журнала:
2024,
Номер
5(3), С. 627 - 644
Опубликована: Авг. 6, 2024
Nowadays,
food
systems
are
undergoing
major
transformations
to
achieve
the
2030
Sustainable
Development
Goals
(SDGs).
However,
there
a
lack
of
comprehensive
reviews
on
this
topic
in
developing
countries.
This
work
highlights
systems’
transition
towards
sustainability,
focusing
Morocco.
It
was
carried
out
through
searching,
selecting,
evaluating,
and
synthesizing
existing
relevant
scholarly
gray
literature.
In
Morocco,
meaningful
sustainability
is
being
guided
several
levels,
despite
numerous
challenges,
e.g.,
inability
cope
with
detrimental
effects
climate
change
escalating
water
scarcity
constitute
fundamental
problems.
conflicting
views
outcomes
system
transformation.
Some
studies
showed
that
Morocco
has
increased
its
agri-food
export
reduced
poverty
less
than
5%
population
over
past
decade;
proportion
wasted
malnourished
children
declined
from
25
15%
4
3%,
respectively,
2023
Global
Hunger
Index
(GHI)
score
9.0.
Other
North
Africa
entered
security
crisis;
specifically,
inflation
reached
unprecedented
levels
paper
provides
valuable
insights
for
policymakers
planners
design
evidence-based
policies
strategies
boost
sustainable
development
Язык: Английский
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics
Precision Agriculture,
Год журнала:
2024,
Номер
25(4), С. 1958 - 1981
Опубликована: Июнь 4, 2024
Abstract
The
COVID-19
pandemic
has
highlighted
the
vulnerabilities
of
global
food
system,
underscoring
need
for
a
sustainable
transformation
system.
With
advent
new
digital
technologies
emerging
as
critical
tools
achieving
agricultural
shift,
it
is
important
to
understand
farmers’
adoption
decisions
better.
This
study
aims
systematically
uncover
and
delineate
varied
forms
experiences
farmers
have
with
investigate
how
these
impact
organizational
on
farm.
In
this
study,
twenty
interviews
apple
growers,
wine
makers,
intermediaries
from
German
region
encompassing
Saxony,
Thuringia,
Saxony–Anhalt
were
conducted
analyzed.
Through
lens
modified
adaptive
capacity
wheel
alongside
interview
data,
five
relevant
types
identified.
These
are
closely
related
adaptation
motivation
(AM)
belief
(AB),
potentially
influencing
their
future
about
technologies.
highlights
importance
creating
meaningful
strengthen
AM
AB.
Язык: Английский
Catalysts of Change: MENA Universities’ Journey Towards Sustainability and Climate Change Mitigation
Опубликована: Янв. 1, 2024
Язык: Английский
Navigating the Pandemic: Insights into Food Security From Oman’s Experience
Journal of Asian and African Studies,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 19, 2024
This
study
examines
the
influence
of
COVID-19
and
climate
change
on
food
security
in
Oman
using
econometric
methods.
Time
series
data
from
1990
to
2022
encompassing
variables
such
as
carbon
dioxide
emissions
(CO
2
),
real
GDP
per
capita
(RGDPc),
inflation
rate
(INF),
a
pre/post-coronavirus
dummy
variable
(DUMV)
are
analyzed.
The
dependent
variable,
FOOD_Impit,
serves
proxy,
with
sourced
World
Development
Indicators
Global
Food
Security
Index
databases.
employs
Johansen
cointegration,
canonical
cointegrating
regression
(CCR),
fully
modified
least
squares
(FMOLS),
investigate
effect
Oman.
CCR
cointegration
tests
confirm
long-term
relationship
among
Oman,
indicating
their
relevance
security.
However,
analysis
reveals
that
while
change,
represented
by
CO
levels,
significantly
adversely
impacts
effects
COVID-19,
capita,
statistically
insignificant.
In
conclusion,
this
research
provides
valuable
insights
into
dynamics
supply
chains
It
highlights
severe
impact
advocates
for
urgent
policy
reforms.
Specifically,
it
recommends
policymakers
focus
enhancing
resilience
within
sector
invest
boosting
domestic
production
reduce
import
dependency.
also
calls
further
address
potential
omitted
refine
understanding
determinants
ensuring
more
robust
formulation
implementation.
JEL
classification:
F11,
F15,
F04
Язык: Английский