Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8480 - 8480
Published: Sept. 29, 2024
Agricultural
productivity
in
China
is
a
fundamental
driver
of
food
security
and
economic
growth.
Yet,
the
sector
faces
profound
challenges
due
to
environmental
degradation
climate
change,
which
threaten
sustainable
agricultural
practices.
This
research
examines
effects
technological
innovations
on
Total
Factor
Productivity
sustainability
from
2012
2022.
The
study
seeks
understand
how
advancements,
when
considered
alongside
socioeconomic
variables,
impact
output
while
balancing
ecological
integrity.
Employing
comprehensive
methodological
framework,
this
integrates
fixed-effects,
random-effects,
multilevel
mixed-effects
models
analyze
crucial
factors
including
rural
education,
capability,
conservation
initiatives.
further
utilizes
structural
equation
modeling
evaluate
both
direct
indirect
these
determinants
productivity.
results
demonstrate
that
substantially
enhance
productivity,
particularly
provinces
with
higher
development.
Additionally,
farming
practices
tailored
policy
interventions
are
identified
as
vital
addressing
regional
imbalances.
concludes
by
underscoring
necessity
for
continued
integration
considerations
emerging
technologies
ensure
growth
long
term.
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.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(2), P. 133 - 133
Published: Jan. 27, 2025
Climate
change
is
significantly
altering
Ethiopia’s
weather
patterns,
causing
substantial
shifts
in
temperature
and
precipitation
extremes.
This
study
examines
historical
trends
changes
extreme
rainfall
temperature,
as
well
seasonal
variability
across
Ethiopia.
In
this
study,
we
employed
the
Mann–Kendall
test,
Sen’s
slope
estimator,
empirical
orthogonal
function
(EOF),
with
data
from
103
stations
(1994–2023).
The
findings
provide
insights
into
16
climate
extremes
of
by
utilizing
climpact2.GUI
tool
R
software
(v1.2).
found
statistical
increases
were
observed
59.22%
annual
maximum
value
daily
(TXx)
77.67%
minimum
(TNx).
Conversely,
decreasing
51.46%
(TXn)
85.44%
diurnal
range
(DTR).
results
that
72.82%
yearly
total
(PRCPTOT),
73.79%
consecutive
wet
days
(CWD),
54.37%
number
heavy
(R10mm)
showed
increasing
trends.
contrast,
at
most
selected
stations,
61.17%
dry
(CDD),
55.34%
1-day
(RX1day),
56.31%
5-day
(RX5day),
66.02%
very
(R95p),
52.43%
extremely
(R99p)
decreasing.
during
JJAS
(Kiremt)
season
first
three
EOF
modes
accounted
for
59.78%
variability.
Notably,
EOF1,
which
35.84%
variability,
declining
particularly
northwestern
central-western
will
help
policymakers
stakeholders
understand
these
take
necessary
action,
build
effective
adaptation
mitigation
measures
face
impacts.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
8
Published: Jan. 28, 2025
Introduction
As
an
effective
tool
and
public
welfare
product
of
the
state
to
support
benefit
agriculture,
policy-oriented
agricultural
insurance
has
unique
advantages
in
dispersing
risks
guaranteeing
stable
grain
production
supply.
Methods
Based
on
provincial
panel
data
from
2002
2021,
this
paper
analyzes
impact
resilience.
It
constructs
a
comprehensive
indicator
system
assess
resilience
examines
premium
subsidy
policy
development
level
Results
The
study
finds
that
significantly
improves
passes
robustness
test.
heterogeneity
analysis
shows
major
producing
areas
positive
resilience,
is
higher
than
non
areas.
Additionally,
high
risk
more
pronounced
low
At
same
time,
mechanism
can
have
by
improving
technology
progress,
land
transfer,
cultivation
specialization.
Discussion
This
reveals
provides
relevant
suggestions
for
government.
considerable
promoting
sustainable
production.
Advances in environmental engineering and green technologies book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 53 - 84
Published: June 28, 2024
This
chapter
observes
the
implications
of
climate
change
on
production
and
yield
crops,
food
security
(FS)
in
India
as
per
previous
studies.
It
also
explains
that
induced
pests
insects
agricultural
sector.
analyzes
role
adaptation
mitigation
strategies
sector
FS.
The
crops
are
predicted
to
decline
due
pests'
germination.
use
technologies,
mixed
cropping
pattern,
intensity,
climate-resilient
drought-tolerance
crop,
irrigation
facilities,
soil
management,
water
harvesting,
bio-technology,
green
fertilizer,
hybrid
varieties
seed,
conservation,
crop
rotation,
appropriate
technology,
digital
ICT,
integrated
pest
management
will
be
effective
for
sustainability
FS
India.
suggests
scope
further
research
above-mentioned
fields.
Water,
Journal Year:
2024,
Volume and Issue:
16(21), P. 3143 - 3143
Published: Nov. 3, 2024
Analyzing
agricultural
and
hydrological
drought
at
different
timescales
is
essential
for
designing
adaptation
strategies.
This
study
aimed
to
assess
in
the
Abbay
Basin
of
Ethiopia
by
using
multiple
indices,
namely
standardized
precipitation
index
(SPI),
evapotranspiration
(SPEI),
normalized
difference
vegetation
(NDVI),
condition
(VCI),
severity
(DSI).
Climate
extremes
were
assessed
over
between
1981
2022.
The
results
indicate
that
years
1982
2014
most
drought-prone,
while
year
1988
was
wettest
Basin.
revealed
presence
extremely
dry
severely
conditions,
potentially
impacting
output
region.
Agricultural
identified
during
main
crop
seasons
(June
September).
VCI
indicated
wet
conditions.
In
2012,
65%
area
affected
extreme
nearly
half
experienced
2013
DSI
occurrence
drought,
although
spatial
coverage
conditions
lower
than
other
indices.
2003,
78.49%
moderate
whereas
severe
20%
2010,
about
90%
drought.
provides
valuable
insights
communities,
enabling
them
mitigate
impact
on
yields
utilizing
An
adequate
knowledge
policymakers
potential
effects
socioeconomic
activities
recognize
significance
implementing
climate
change
measures.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
166, P. 112559 - 112559
Published: Aug. 30, 2024
Climate
change
has
driven
agriculture
to
alter
farming
methods
for
food
production.
This
paper
presents
a
new
concept
monitoring,
acquisition,
management,
analysis,
and
synthesis
of
ecological
data,
which
captures
the
environmental
determinants
direct
gradients
suited
particular
requirement
specific
plant
cultivation
sustainable
agriculture.
The
purpose
this
study
is
investigate
smart
seablite
system.
A
novel
digital
agricultural
method
was
developed
applied
digitised
cultivation.
Machine
learning
used
predict
future
growth
conditions
plants
(seablites).
identified
illustrative
maps
origins,
conceptual
model,
essential
factors
growing
seablite,
circuit
cultivating
data
phases
comprised
data.
findings
indicate
that:
(1)
An
indicator
soil
salinity
quantity
sodium
chloride
extracted
from
sample
indicating
its
origin
determinants.
(2)
Saline
soil,
saline
water,
pH,
moisture,
temperature,
sunlight
are
development.
These
dependent
on
climate
were
measured
using
(3)
Digital
circuits
provide
better
understanding
relationship
between
phases.
(4)
Deep
neural
networks
outperformed
vector
machines,
with
86%
accuracy
at
predicting
seablites.
Therefore,
finding
showed
that
development
can
be
manipulated
as
key
controllers
in
response
planned.
Basic
digitisation
aids
migration.
an
important
practice
agroecosystems.
