Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
Cogent Food & Agriculture,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 20, 2025
Global
food
security
is
seriously
threatened
by
climate
change,
which
calls
for
creative
agricultural
solutions.
However,
little
known
about
how
different
smart
technologies
are
integrated
to
enhance
security.
As
a
strategic
reaction
these
difficulties,
this
review
investigates
the
incorporation
of
remote
sensing
(RS)
as
well
artificial
intelligence
(AI)
into
climate-smart
agriculture
(CSA).
This
demonstrates
advances
can
improve
resilience,
productivity,
and
sustainability
utilizing
AI's
capacity
predictive
analytics,
crop
modelling,
precision
agriculture,
along
with
RS's
strengths
in
projections,
land
management,
continuous
surveillance.
Several
important
tactics
were
covered,
such
combining
AI
RS
regulate
risks,
maximize
resource
utilization,
practice
choices.
The
also
discusses
issues
like
policy
frameworks,
building,
accessibility
that
prevent
from
being
widely
adopted.
highlights
further
CSA
offers
insights
they
help
ensure
systems
remain
secure
changing
climates.
Язык: Английский
A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 31, 2025
The
rapid
proliferation
of
Internet
Things
(IoT)
devices
has
brought
about
a
profound
transformation
in
our
daily
lives
and
work
environments.
However,
this
also
given
rise
to
significant
security
challenges,
as
cybercriminals
increasingly
target
IoT
exploit
vulnerabilities
gain
access
sensitive
data.
This
escalating
threat
landscape
poses
severe
issue
across
diverse
domains
where
is
deployed,
including
agriculture,
healthcare,
surveillance.
In
the
realm
farmers
have
historically
contended
with
pests
environmental
new
adversary
emerged
form
cyber
criminals.
agriculture
sector
witnessed
surge
cyber-attacks
targeting
smart
solutions
despite
being
relatively
recent
addition
industry.
Farmers
may
not
control
over
actions
adversaries,
but
they
possess
ability
make
informed
purchasing
decisions
when
adopting
farming
implementing
fundamental
measures,
such
robust
user
credentials
regular
system
updates.
regard,
research
introduces
groundbreaking
approach
addressing
cybersecurity
concerns
associated
agriculture-deception
technology.
Overall,
deception
technology
involves
creation
deceptive
elements,
decoys,
traps,
false
information,
designed
divert
away
from
genuine
data
systems
presents
novel
intelligence
platform
that
leverages
assess
mitigate
risks
first
its
kind
research.
Based
on
insights
derived
experimental
work,
actionable
recommendations
would
be
provided
relevant
stakeholders
how
bolster
posture
IoT-enabled
agriculture.
innovative
represents
step
towards
safeguarding
interconnected
world
offering
promising
avenue
for
defending
against
threats
faced
by
vital
Язык: Английский
Agricultural data privacy and federated learning: A review of challenges and opportunities
Computers and Electronics in Agriculture,
Год журнала:
2025,
Номер
232, С. 110048 - 110048
Опубликована: Фев. 10, 2025
Язык: Английский
TRANSFORMING AGRICULTURE: THE IMPACT OF DIGITAL TECHNOLOGIES ON BIODIVERSITY CONSERVATION
Journal of Financial Studies,
Год журнала:
2024,
Номер
9(Special), С. 272 - 287
Опубликована: Ноя. 5, 2024
The
integration
of
digital
technologies
in
agriculture
has
the
potential
to
revolutionize
biodiversity
conservation
efforts.
This
article
explores
role
regulations
and
recommended
practices
promoting
adoption
for
agricultural
practices.
Through
a
comprehensive
review
literature
analysis
current
trends,
highlights
importance
regulatory
frameworks
shaping
implementation
agriculture.
It
examines
various
policies
initiatives
aimed
at
stimulating
use
tools
monitoring,
reporting,
mitigating
impact
on
biodiversity.
Furthermore,
discusses
challenges
opportunities
associated
with
conservation.
concludes
by
proposing
recommendations
improving
framework
sustainable
enhance
Язык: Английский