A food resilience model integrating local wisdom and sociotechnical dynamic systems: Case study flood-affected communities in the Bengawan solo area
Progress in Disaster Science,
Год журнала:
2025,
Номер
unknown, С. 100413 - 100413
Опубликована: Фев. 1, 2025
Язык: Английский
Bespoke cultivation of seablite with digital agriculture and machine learning
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112559 - 112559
Опубликована: Авг. 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.
Язык: Английский
A review of oxygen generation through renewable hydrogen production
Sustainable Chemistry for Climate Action,
Год журнала:
2025,
Номер
unknown, С. 100079 - 100079
Опубликована: Апрель 1, 2025
Язык: Английский
Building Blocks for an Energy Transition
Journal of Energy and Power Technology,
Год журнала:
2024,
Номер
06(02), С. 1 - 28
Опубликована: Май 13, 2024
The
present
need
for
an
energy
transition
in
the
wake
of
a
global
climate
catastrophe
led
to
“EU
green
deal”
which
requires
system
all
countries.
This
study
aimis
survey
aims
identify
strategies
within
such
based
on
trend
analyses
and
reports
available
technologies
implementation.
Based
literature
analysis
over
300
pieces
(of
feasibility
studies
technology
implementation
with
focus
Central
Europe)
statistical
levels
“energy
intensity”
(E/GDP)
covering
three
decades
countries
worldwide,
diagnosis
is
made
that
steady
improvements
several
dedicated
technological
areas
can
be
were
could
still
increased
future,
as
required
by
targets.
Across
distinct
fields
economy,
concrete
options
are
portrayed:
Energy
infrastructure,
Smart
grids,
Transmission
grid
management,
Electricity
storage,
Heat
Industrial
waste
heat;
linked
diagnosed
long-term
trends
emerging
from
“Global
Change
Data
Base”
GCDB,
allowing
sectorial
so-called
intensity,
was
not
yet
delivered
until
now
time
series
literature.
main
findings
show
economic
sectors
clusters
most
appropriate
achieve
targets
while
safeguarding
social
aspects
sustainability.
Язык: Английский
A practical and efficient approach to evaluating the irrigation water supply from electricity consumption: A case study in Siyang County, China
Irrigation and Drainage,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 15, 2024
Abstract
To
facilitate
agricultural
water
rights
trading
reform
in
China
and
improve
the
efficiency
of
irrigation,
an
effective
practical
approach
called
conversion
coefficient
from
electricity
consumption
to
irrigation
supply
(CCECIWS)
method
is
introduced
this
study.
Application
Siyang
County
meticulously
investigated.
First,
four
measurement
strategies
are
employed
for
precise
estimation
volume
pumps
(AIWPs)
County.
Then,
CCECIWS
data
collected
through
on‐site
testing
distribution
pattern
CCECIWSs
AIWPs
analysed,
ranges
values
different
groups
delineated.
Conjoint
analysis
conducted
quantify
influence
two
factors
on
CCECIWSs.
Finally,
three
regression
models
developed
validated
predict
remaining
60%
total
AIWPs,
which
not
tested
site.
The
prediction
results
show
that
have
acceptable
accuracy.
contribution
research
provision
a
efficient
indirectly
evaluate
supply,
saving
both
time
economic
costs
laying
foundation
future
topic.
Язык: Английский
Towards sustainable resource allocation in agriculture: A systematic review on cropping pattern optimization approaches
Applied Soft Computing,
Год журнала:
2024,
Номер
unknown, С. 112360 - 112360
Опубликована: Окт. 1, 2024
Язык: Английский
Literature review on optimization of transboundary water for irrigation
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
24(12), С. 3979 - 4008
Опубликована: Ноя. 11, 2024
ABSTRACT
Transboundary
water
resources
are
essential
for
agricultural
sustainability
and
regional
development,
they
intrinsically
linked
to
achieving
the
United
Nations'
SDGs
water-food-energy
nexus
(WFE-NEXUS)
concept.
Despite
challenges
such
as
conflicting
allocation
climate
change
impacts,
effective
transboundary
management
irrigation
is
crucial
meeting
of
eradicating
hunger,
providing
clean
sanitation,
offering
affordable
sustainable
energy,
taking
action.
This
work
synthesizes
approaches
optimization,
highlighting
significance
a
holistic
plan
that
considers
both
technical
social
factors.
Remote-sensing
technologies,
data
forecasting,
hydrology
hydraulic
modelling,
resource
modelling
all
contribute
maximize
policy
creation,
particularly
when
paired
with
collaborative
government
features.
integrated
approach
optimization
fosters
long-term
development
by
improving
livelihoods,
resilience,
inclusive
growth
through
efficient
management.
Язык: Английский
A robust multi-objective optimization model for grid-scale design of sustainable cropping patterns: A case study
Computers & Industrial Engineering,
Год журнала:
2024,
Номер
unknown, С. 110772 - 110772
Опубликована: Дек. 1, 2024
Язык: Английский
Spillover effects of upstream irrigation expansion on downstream water stress in transboundary river basins
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 19, 2024
Abstract
The
expansion
of
irrigated
cropland
exacerbates
water
scarcity,
while
geopolitical
environment
further
intensifies
the
spatial
imbalance
resources,
particularly
in
transboundary
rivers.
However,
little
is
known
about
evolution
stress
upstream
and
downstream
regions
within
river
basins
their
potential
interrelationships.
Here,
we
find
that
396
431
sub-basins
(91.9%)
experience
increasing
irrigation
(IWS)
between
1901
2005,
with
number
facing
scarcity
doubling
from
51
to
118.
Disparities
IWS
widen
92.4%
basins,
especially
South
Asia,
Central
Africa.
areas
(6
Mha·yr-1)
associated
withdrawals
(20.4
km3·yr-1)
exacerbate
by
34.3
±
3.5%
this
spillover
effect
projected
intensify
through
2099.
Our
findings
emphasize
urgent
need
for
cooperative
management
basins.
Язык: Английский