Energy-Efficient Smart Irrigation Technologies: A Pathway to Water and Energy Sustainability in Agriculture
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(5), P. 554 - 554
Published: March 5, 2025
The
agricultural
sector
faces
challenges
such
as
water
scarcity,
energy
inefficiency,
and
declining
productivity,
particularly
in
arid
regions.
Traditional
irrigation
methods
contribute
to
resource
depletion
environmental
impacts.
Solar-powered
smart
systems
integrate
precision
with
renewable
energy,
improving
use
productivity.
In
Pakistan,
where
agriculture
contributes
19%
of
gross
domestic
product
employs
40%
the
workforce,
these
are
severe,
especially
water-scarce
areas
like
Cholistan
Desert.
This
study
examines
impact
solar-powered
on
conservation,
efficiency
Using
a
quantitative
cross-sectional
design,
data
were
collected
from
384
farmers
via
structured
questionnaires.
Statistical
analyses,
including
multiple
linear
regression,
paired
sample
t-tests,
Structural
Equation
Modeling
(SEM),
conducted.
Findings
show
significant
improvements
crop
yield
(from
3.0
4.8
tons/hectare)
reductions
consumption.
Regression
analysis
highlighted
strong
positive
effects
efficiency,
while
SEM
confirmed
reduced
operational
costs.
concludes
that
enhances
conserves
resources,
promotes
sustainability.
Policymakers
should
provide
financial
incentives,
invest
infrastructure,
implement
training
programs
support
adoption.
Collaborative
efforts
essential
for
sustainable
Language: Английский
An integrated expert recommender system approach to environmental service priorities in renewable energy
Environmental Research Communications,
Journal Year:
2024,
Volume and Issue:
6(9), P. 095001 - 095001
Published: Aug. 8, 2024
Abstract
The
purpose
of
this
study
is
to
analyze
the
investment
success
renewable
energy
generation
projects
design.
A
novel
model
has
been
constructed
for
purpose.
At
first
stage,
collaborative
filtering
methodology
taken
into
consideration
complete
missing
evaluations.
After
that,
M-SWARA
based
on
QUSFSs
with
golden
cut
used
compute
weights
these
factors.
Finally,
components
service
design
are
ranked
by
TOPSIS
approach.
main
contribution
paper
that
a
new
(M-SWARA)
created
in
making
improvements
SWARA.
With
help
model,
causal
directions
between
indicators
can
also
be
examined.
Similarly,
In
process,
decision
makers
allowed
leave
questions
they
wanted
blank.
This
situation
considered
as
superiority
proposed
compared
many
previous
models
literature.
findings
indicate
cost
most
significant
factor
investments
because
it
gets
highest
weight
(.261).
ranking
results
demonstrate
product
essential
component
investments.
Therefore,
solving
high-cost
problem
vital
importance
increase
First,
companies
reduce
costs
more
effective
financial
management.
To
carry
out
process
effectively,
finance
department
consisting
qualified
personnel
needed.
Thanks
team,
current
situations
markets
will
better
followed
and
play
an
important
role
reducing
costs.
Language: Английский
Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan’s Peri-Urban and Rural Areas
Fire,
Journal Year:
2024,
Volume and Issue:
7(11), P. 377 - 377
Published: Oct. 24, 2024
This
study
aims
to
examine
the
socio-economic
determinants
of
human
negligence
in
wildfire
occurrences
across
Pakistan’s
peri-urban
and
rural
regions.
Increasingly
frequent
severe
wildfires,
driven
by
climate
change,
conditions,
negligence,
have
become
a
pressing
issue.
Rising
global
temperatures
changing
precipitation
patterns
created
drier
while
unsafe
activities—such
as
improper
disposal
flammable
materials
agricultural
burning—further
escalate
risks.
These
issues
are
particularly
pronounced
Pakistan,
where
high
poverty
levels,
limited
resources,
low
education
contribute
dangerous
behaviors.
Weak
governance
poor
policy
enforcement
further
exacerbate
problem.
Data
were
collected
using
cross-sectional
survey
from
500
participants
five
Multiple
regression
analysis
revealed
that
higher
levels
significantly
increased
whereas
improved
access
resources
reduced
it.
Structural
Equation
Modeling
(SEM)
highlighted
critical
roles
local
governance,
enforcement,
community
engagement
mitigating
wildfires.
Correlation
indicated
an
inverse
relationship
between
risk
awareness
negligent
behavior.
Chi-square
tests
demonstrated
strong
connection
wildfires
migration
patterns,
underscoring
instability
caused
these
events.
Finally,
linear
showed
impact
regional
indicators,
emphasizing
need
for
integrated
management
strategies.
offers
valuable
insights
into
factors
driving
Pakistan
provides
guidance
developing
targeted
mitigation
Language: Английский
The Impact of Climate Change on Migration Patterns in Coastal Communities
Climate,
Journal Year:
2024,
Volume and Issue:
12(11), P. 180 - 180
Published: Nov. 7, 2024
Climate
change
is
a
major
global
challenge
affecting
migration
patterns,
particularly
in
coastal
communities
vulnerable
to
sea-level
rise,
flooding,
and
extreme
weather.
Pakistan,
with
its
extensive
coastline
diverse
environmental
conditions,
faces
significant
climate-induced
issues,
especially
Karachi,
Thatta,
Gwadar,
Badin,
Muzaffargarh.
This
study
aims
investigate
the
impact
of
climate
on
patterns
these
five
selected
regions
Pakistan.
By
analyzing
variables
socio-economic
factors,
research
seeks
provide
localized
understanding
how
drives
population
movements.
A
cross-sectional
survey
design
was
employed
gather
data
from
350
participants
across
regions.
Stratified
random
sampling
ensured
representation
each
area,
were
collected
using
structured
questionnaire
administered
online.
Statistical
analyses
included
multiple
linear
regression,
logistic
structural
equation
modeling
(SEM).
found
strong
positive
relationship
between
(sea
level
temperature
increases,
flooding)
patterns.
Both
direct
impacts
indirect
factors
influenced
likelihood
migration.
The
SEM
analysis
revealed
that
awareness
partially
mediates
In
conclusion,
significantly
Pakistan’s
communities,
both
conditions
playing
crucial
roles.
Enhanced
comprehensive
adaptation
strategies
are
essential.
Policies
should
focus
resilience
through
infrastructure
improvements,
early
warning
systems,
support
programs.
Strengthening
education
economic
opportunities
vital
build
community
effectively
manage
Language: Английский