Toxics,
Год журнала:
2024,
Номер
12(8), С. 535 - 535
Опубликована: Июль 24, 2024
Soil
pollution
with
cadmium
(Cd)
poses
serious
health
and
environmental
consequences.
The
study
investigated
the
incubation
of
several
soil
samples
conducted
quantitative
characterization
to
assess
influence
biochar
(BC)
on
Cd
adsorption.
aim
was
develop
predictive
models
for
concentrations
using
statistical
modeling
approaches
dependent
characteristics.
potential
risk
linked
transformation
immobilization
adsorption
by
BC
in
could
be
conservatively
assessed
pH,
clay,
cation
exchange
capacity,
organic
carbon,
electrical
conductivity.
In
this
study,
Long
Short-Term
Memory
(LSTM),
Bidirectional
Gated
Recurrent
Unit
(BiGRU),
5-layer
CNN
Convolutional
Neural
Networks
(CNNs)
were
applied
assessments
establish
a
framework
evaluating
amended
soils
predict
transformation.
case
control
(CK),
BiGRU
model
showed
commendable
performance,
an
R2
value
0.85,
indicating
approximate
85.37%
variance
actual
Cd.
LSTM
model,
which
incorporates
sequence
data,
produced
less
accurate
results
(R2=0.84),
while
had
Abstract
Background
In
regional
wheat
trials,
when
short-stem
varieties
and
high-stem
are
planted
adjacent
to
each
other
in
small
plots,
changes
their
marginal
plot
environment
can
lead
bias
yield
evaluation.
Currently,
there
is
no
relevant
research
revealing
the
degree
of
mutual
influence.
Results
a
experiment,
were
one
another,
was
significant
change
soil
temperature
or
humidity
variety
experimental
from
November
May
compared
control
plot,
while
greater
than
that
plot.
May,
lower
Illumination
canopy
had
positive
effect
April
illumination
negative
effect.
The
chlorophyll
fluorescence
parameters
flag
leaves
plots
showed
an
overall
increasing
trend,
decreasing
trend.
analysis
economic
yield,
biological
factors
revealed
effects
1000-grain
weight
particularly
manifested
as
significantly
When
varieties,
varieties.
Conclusions
Based
on
these
findings,
it
concluded
with
subject
effects,
resulting
increase
yield;
decrease
yield.
This
study
reveals
influence
mechanism
planting
providing
useful
reference
guidance
for
optimizing
layout
trials.
Emirates Journal of Food and Agriculture,
Год журнала:
2024,
Номер
36, С. 1 - 11
Опубликована: Июнь 3, 2024
Heavy
tillage
practices
to
conserve
moisture
from
monsoon
rains
are
common
in
rainfed
regions.
Rainfed
regions
have
wheat
(
Triticum
aestivum
)
as
a
main
crop
while
rest
of
the
year
minor
crops
grown
such
lentil.
not
only
destroyed
soil
structure
but
also
caused
loss
carbon.
This
study
was
designed
investigate
impact
different
on
yield
lentil
Lens
culinaris
and
carbon
dynamics.
Three
were
considered
as:
T
1
=
6
cultivations
(Control),
2
moldboard
plough
+
cultivations,
3
chisel
cultivations.
The
experiment
conducted
using
randomized
complete
block
design
with
three
replications
dioxide
(CO
emission,
organic
(SOC),
dissolved
(DOC),
crop.
Results
indicated
that
during
both
years
(2018–2019),
(T
reduced
CO
emission
(40.28%),
DOC
(22.58%)
SOC
(51.07%)
increased
(56.39%)
compared
control.
monitoring
use
along
before
onset
under
conditions
can
reduce
improve
conventional
practices.
suggest
farmers
area
they
should
so
be
minimized,
get
more
better
which
causes
nutrients.
Toxics,
Год журнала:
2024,
Номер
12(8), С. 535 - 535
Опубликована: Июль 24, 2024
Soil
pollution
with
cadmium
(Cd)
poses
serious
health
and
environmental
consequences.
The
study
investigated
the
incubation
of
several
soil
samples
conducted
quantitative
characterization
to
assess
influence
biochar
(BC)
on
Cd
adsorption.
aim
was
develop
predictive
models
for
concentrations
using
statistical
modeling
approaches
dependent
characteristics.
potential
risk
linked
transformation
immobilization
adsorption
by
BC
in
could
be
conservatively
assessed
pH,
clay,
cation
exchange
capacity,
organic
carbon,
electrical
conductivity.
In
this
study,
Long
Short-Term
Memory
(LSTM),
Bidirectional
Gated
Recurrent
Unit
(BiGRU),
5-layer
CNN
Convolutional
Neural
Networks
(CNNs)
were
applied
assessments
establish
a
framework
evaluating
amended
soils
predict
transformation.
case
control
(CK),
BiGRU
model
showed
commendable
performance,
an
R2
value
0.85,
indicating
approximate
85.37%
variance
actual
Cd.
LSTM
model,
which
incorporates
sequence
data,
produced
less
accurate
results
(R2=0.84),
while
had
