International Journal of Sustainable Development Research,
Год журнала:
2025,
Номер
11(2), С. 115 - 132
Опубликована: Май 24, 2025
Climate-smart
agriculture
(CSA)
has
emerged
as
a
promising
strategy
for
tackling
the
challenges
of
agricultural
productivity,
resilience,
and
climate
change
mitigation.
However,
its
adoption
among
smallholder
farmers
in
Mt.
Kenya
East
region
remained
low
uneven
due
to
socio-economic
barriers.
This
study
examined
demographic
predictors
influencing
CSA
Mukothima
Ward,
Tharaka
Nithi
County,
Kenya,
focusing
on
household
characteristics,
farmland
attributes,
economic
social
capital.
A
mixed-methods
design
was
used,
integrating
quantitative
qualitative
data
from
survey
418
respondents
six
focus
group
discussions,
respectively.
The
findings
revealed
that
land
size,
membership,
access
credit,
being
lead
farmer
were
significant
adoption.
Male-headed
households
more
likely
adopt
capital-intensive
practices,
while
female-headed
households,
youth,
with
disabilities
faced
Social
capital,
particularly
community
self-help
groups,
crucial
enabler
adoption,
mitigating
systemic
barriers
such
limited
credit
extension
services.
emphasizes
need
targeted
interventions
promote
climate-vulnerable
areas.
Recommendations
include
tenure
reforms,
financial
inclusion,
gender-sensitive
strategies,
strengthening
institutional
support
improve
women,
disabilities.
Smart Agricultural Technology,
Год журнала:
2024,
Номер
8, С. 100478 - 100478
Опубликована: Май 26, 2024
The
adoption
of
climate-smart
agriculture
(CSA)
is
a
critical
component
in
the
transition
to
more
sustainable
food
system.
However,
calls
for
significant
changes
production
system,
which
stakeholders
supply
chain
should
work
collaboratively.
So
far,
most
studies
have
focused
on
perceptions
one
actor,
farmer,
implementation
CSA
practices.
This
study
aims
include
also
other
stakeholders'
drivers
and
barriers
primary
five
European
chains.
Data
were
collected
from
using
semi-structured
interview
guide,
including
farmers,
producers
manufacturers,
advisory
service
providers,
advocacy
institutions,
policy
officers,
researchers,
consultants.
top
three
foster
practices
within
chains
touched
economics,
institutions
policy,
as
well
personal
psychological
factors.
Similarly,
limiting
seen
be
economic,
technology-related
aspects,
institutional
According
stakeholders,
addressing
these
requires
financial
support,
changes,
capacity-building
efforts
make
attractive
especially
farmers.
They
emphasized
that
improved
coordination
among
incentives
customized
strategies
communicating
disseminating
information
can
help
catalyse
effective
understanding
Climate
change
poses
significant
challenges
to
global
agriculture,
necessitating
innovative
solutions
enhance
sustainability
and
productivity.
Artificial
intelligence
(AI)
has
emerged
as
a
key
enabler
in
climate-smart
agricultural
technologies
(CSAT),
offering
data-driven
approaches
optimize
resource
use,
mitigate
climate
risks,
improve
decision-making.
This
study
aims
evaluate
AI's
integration
into
CSAT,
focusing
on
its
applications,
benefits,
adoption
challenges,
particularly
climate-vulnerable
regions.
A
bibliographic
review
employing
machine
learning
(ML)
natural
language
processing
(NLP)
techniques
was
conducted
analyze
over
40,000
scientific
articles
from
academic
databases.
Topic
modeling
classification
algorithms
were
applied
identify
trends,
barriers,
implementation
pathways
for
AI-driven
CSAT.
The
also
incorporated
expert
validation
through
the
Delphi
method
refine
AI-generated
insights
ensure
their
alignment
with
real-world
challenges.
Findings
indicate
that
AI
enhances
decision-making
conservation
precision
farming,
water
management,
market
intelligence.
AI-powered
tools
facilitate
early
pest
detection,
irrigation
schedules,
provide
real-time
advisory
services,
significantly
improving
resilience
food
security.
However,
major
barriers
include
high
costs,
limited
digital
literacy,
inadequate
infrastructure,
low-income
Despite
these
CSAT
presents
potential
transform
especially
climate-affected
areas.
Strategic
investments
infrastructure
development,
supportive
policy
frameworks
are
essential
adoption.
Strengthening
interdisciplinary
collaboration
among
researchers,
policymakers,
farmers
will
be
crucial
advancing
sustainable
practices
ensuring
long-term
Smart Agricultural Technology,
Год журнала:
2024,
Номер
8, С. 100477 - 100477
Опубликована: Май 25, 2024
Smart
farming
practices
offer
decision-making
support
as
farmers
navigate
economic,
social,
and
environmental
challenges.
However,
smart
adoption
remains
low
in
many
contexts
due
to
the
perceived
cost
skills
required,
hesitancies
about
sharing
agricultural
data.
Numerous
studies
have
reviewed
factors
that
influence
within
different
scenarios,
but
best
our
knowledge,
none
specifically
motivators
obstacles
of
agri-data
farming.
The
objective
this
research
was
identify
classify
most
prominent
drivers
barriers
for
across
stakeholders,
by
examining
existing
literature.
A
Systematic
Literature
Review
conducted
using
PRISMA
2020
methodology.
query
initially
identified
491
papers
from
Scopus
Web
Science,
after
screening
final
number
assessment
59.
Factors
affecting
willingness
capability
engage
data
were
categorised
socio-economic,
systemic,
technical,
legal
categories.
systemic
which
discussed
58%
57%
papers,
respectively.
Technical
prevalent
barriers,
68%
Perceived
knowledge
gain
leading
improved
decision-making,
collaboration
agri-value
chain,
technologies,
clarity
around
sovereignty
key
enablers
Lack
purpose
benefit
data,
mistrust
"who
will
my
data",
privacy
security,
lack
on
ownership
rights
use
concerns.
findings
paper
help
inform
on-the-ground
social
science
EU
focused
feasible
options
promoting
benefits
sharing.
Climate,
Год журнала:
2024,
Номер
12(11), С. 192 - 192
Опубликована: Ноя. 20, 2024
Climate-smart
agricultural
technologies
offer
transformative
potential
for
achieving
Sustainable
Development
Goals,
especially
in
mitigating
extreme
weather
impacts
and
enhancing
food
security.
Despite
this
potential,
adoption
rates
remain
limited
due
to
various
factors,
with
perceived
complexity
playing
a
significant
role.
This
study
conducted
systematic
review
meta-analysis
assess
the
influence
of
innovation
on
adopting
climate-smart
technologies.
Using
frameworks
Technology
Acceptance
Model
Unified
Theory
Use
Technology,
we
systematically
reviewed
28
studies
15
across
diverse
geographic
contexts.
Our
findings
from
indicate
inconsistent
results
impact
different
items
scales
used
measure
concepts
contexts,
suggesting
that
there
is
need
development
standardized
scale
complexity.
Results
generated
summary
effect
size
(r
=
0.51,
95%
CI
[0.05,
0.72],
z
6.78,
p
≤
0.0001),
revealing
relationship
between
intent.
The
0.51
indicates
higher
levels
significantly
decrease
likelihood
intent
Differences
CSA
research
trends
regions
highlight
tailored
approaches
technology
take
into
account
specific
capabilities
constraints
each
region.
These
provide
valuable
insights
policymakers,
Extension
professionals,
developers
design
interventions
promote
ease
use
enhance
diffusion
sustainable
farming
practices
contribute
ongoing
efforts
foster
innovations,
offering
guidance
accelerate
global
transition
more
resilient
systems.
