Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(8), P. 898 - 898
Published: July 27, 2024
This
study
delves
into
the
application
of
Shannon
entropy
to
analyze
long-term
variability
in
climate
data,
specifically
focusing
on
precipitation
and
temperature.
By
employing
data
from
1901
2010
across
377
catchments
worldwide,
we
investigated
dynamics
variables
using
generalized
extreme
value
(GEV)
distribution
measures.
The
methodology
hinged
robust
bootstrap
technique
accommodate
inherent
uncertainties
climatic
enhancing
reliability
our
estimates.
Our
analysis
revealed
significant
trends
values,
suggesting
variations
unpredictability
complexity
behavior
over
past
century.
These
were
critically
assessed
non-parametric
tests
discern
underlying
patterns
potential
shifts
extremes.
results
underscore
profound
implications
understanding
aiding
prediction
future
conditions.
research
not
only
confirms
utility
climatological
studies
but
also
highlights
its
complex
chaotic
systems.
study’s
findings
are
vital
for
developing
adaptive
strategies
response
evolving
nature
extremes,
thus
contributing
more
informed
decision-making
environmental
management
policy
formulation.
Journal of Agronomy and Crop Science,
Journal Year:
2024,
Volume and Issue:
210(5)
Published: Sept. 16, 2024
ABSTRACT
Agriculture
plays
an
important
part
in
the
overall
growth
and
development
of
a
nation.
Concerns
about
agriculture
continue
to
be
recalcitrant
obstacle
path
upward
movement.
Although
agricultural
yields
are
increased,
however,
low‐
middle‐income
countries
still
have
difficulty
producing
all
required
foods
with
current
state
technology.
Smart
is
becoming
increasingly
farmers
as
means
ensuring
optimal
field
higher
crop
yield.
This
systematic
study
analysed
briefly
explained
effects
using
smart
techniques
(SATs)
from
variety
countries,
including
China,
United
States
America,
Australia,
India,
Philippine
Islands,
South
Africa,
Pakistan
Iran,
among
others.
Increased
climatic
change
resulting
abiotic
stress
other
harmful
on
plants
resulted
decreased
productivity
under
traditional
practices.
Stats
literature
shown
that
launching
SATs
has
significant
increase
cotton–wheat
rice–wheat
yields,
resultantly
increased
incomes
farmers.
Application
SATs,
satellite
remote
sensing,
drones,
machine
learning
image
processing,
monitoring,
wireless
sensor
networks,
IoT–based
robotics,
precision
agroforestry
could
extremely
useful
developing
intelligent
systems
underdeveloped
improved
plant
growth,
high
yield
food
security.
These
technologies
help
by
storing
additional
water,
spraying
pesticides
practicing
employing
sensors
for
assessing
different
environmental
parameters.
By
making
efficient
use
these
technologies,
able
their
crops,
which,
turn,
will
contribute
reduction
poverty
elimination
insecurity.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(8), P. 898 - 898
Published: July 27, 2024
This
study
delves
into
the
application
of
Shannon
entropy
to
analyze
long-term
variability
in
climate
data,
specifically
focusing
on
precipitation
and
temperature.
By
employing
data
from
1901
2010
across
377
catchments
worldwide,
we
investigated
dynamics
variables
using
generalized
extreme
value
(GEV)
distribution
measures.
The
methodology
hinged
robust
bootstrap
technique
accommodate
inherent
uncertainties
climatic
enhancing
reliability
our
estimates.
Our
analysis
revealed
significant
trends
values,
suggesting
variations
unpredictability
complexity
behavior
over
past
century.
These
were
critically
assessed
non-parametric
tests
discern
underlying
patterns
potential
shifts
extremes.
results
underscore
profound
implications
understanding
aiding
prediction
future
conditions.
research
not
only
confirms
utility
climatological
studies
but
also
highlights
its
complex
chaotic
systems.
study’s
findings
are
vital
for
developing
adaptive
strategies
response
evolving
nature
extremes,
thus
contributing
more
informed
decision-making
environmental
management
policy
formulation.
