A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(5), P. 1041 - 1041
Published: April 26, 2025
A
hyperspectral
maize
nitrogen
content
prediction
model
is
proposed,
integrating
a
dynamic
spectral–spatiotemporal
attention
mechanism
with
graph
neural
network,
the
aim
of
enhancing
accuracy
and
stability
estimation.
Across
multiple
experiments,
proposed
method
achieved
outstanding
performance
on
test
set,
R2=0.93,
RMSE
0.35,
MAE
0.48,
significantly
outperforming
comparative
models
including
SVM,
RF,
ResNet,
ViT.
In
experiments
conducted
across
different
growth
stages,
best
was
observed
during
grain-filling
stage,
where
R2
reached
0.96.
terms
accuracy,
recall,
precision,
exhibited
an
average
improvement
exceeding
15%,
demonstrating
strong
adaptability
to
temporal
variation
generalization
spatial
conditions.
These
results
provide
robust
technical
support
for
large-scale,
nondestructive
monitoring
in
agricultural
applications.
Language: Английский
Appropriate water and nitrogen supply regulates the dynamics of nitrogen translocation and thereby enhancing the accumulation of nitrogen in maize grains
Agricultural Water Management,
Journal Year:
2024,
Volume and Issue:
306, P. 109160 - 109160
Published: Nov. 9, 2024
Language: Английский
Synergistic Effects of Irrigation and Nitrogen Fertilisation on Maize Photosynthetic Performance and Yield of Rainfed Systems in Drought‐Prone Environments
Journal of Agronomy and Crop Science,
Journal Year:
2024,
Volume and Issue:
210(6)
Published: Oct. 29, 2024
ABSTRACT
Maize,
a
cereal
crop
of
global
significance,
encounters
cultivation
challenges
in
the
subtropical
regions
Guangxi,
mainly
due
to
variable
rainfall
and
low
soil
fertility,
exacerbating
effects
drought.
This
study
evaluated
irrigation
nitrogen
fertilisation
on
overcoming
these
improving
maize
growth
yield.
Between
2020
2021,
split‐plot
experiment
was
conducted.
The
main
plots
were
assigned
two
treatments:
irrigated
rainfed.
Within
each
plot,
subplots
treated
with
different
levels
(0,
150,
200,
250
300
kg
ha
−1
).
results
showed
that
water
regime
significantly
impacted
several
key
factors,
including
net
photosynthetic
rate
(Pn),
stomatal
conductance
(Gs),
transpiration
(Tr),
intercellular
carbon
dioxide
concentration
(Ci),
photosynthetically
active
radiation
(PAR),
carbon‐metabolising
enzymes
total
(TC)
content
accumulation.
Under
drought‐like
rainfed
conditions,
application
nitrogen,
RN300
(rainfed
),
IN250
(irrigated
)
enhanced
Pn
(10.0%),
Tr
(3.17%),
Ci
(3.41%)
Gs
(2.6%).
Additionally,
PAR
influenced
by
levels.
IN250,
capture
ratio
(Ca)
increased
(2.36%),
while
penetration
(Pe)
reflectance
(Re)
decreased
13.12%
46.36%,
respectively,
compared
RN300.
metabolism
(sucrose
phosphate
synthase
phosphoenolpyruvate
carboxylase)
TC
higher
under
IN250;
however,
differences
not
statistically
significant.
Path
analysis
revealed
thousand
kernel
weight
had
most
significant
impact
yield
both
regimes.
effect
stronger
path
coefficient
0.647,
0.459
conditions.
Correlation
indicated
plant
height
(0.938),
stem
diameter
(0.906),
ear
(0.928)
length
(0.803)
positively
correlated
In
conclusion,
exhibited
superior
performance
suggests
balanced
management
can
effectively
mitigate
adverse
impacts
drought
maize,
optimising
sustainably.
Language: Английский
Evaluation of gridded cropland phosphorus budget and use efficiency in China
Sunam You,
No information about this author
Hao Shi,
No information about this author
Fei Lun
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
370, P. 122974 - 122974
Published: Oct. 23, 2024
Language: Английский
Effects of Water–Nitrogen Interaction on Sandy Soil, Physiology, and Morphology of Tall Fescue (Festuca arundinacea Schreb) Turf
Wenjun Guo,
No information about this author
Wenchao Zhang,
No information about this author
Liebao Han
No information about this author
et al.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1948 - 1948
Published: Oct. 31, 2024
The
soil
water
and
nitrogen
(N)
levels
are
the
important
factors
affecting
turfgrass
growth.
However,
impact
of
water–N
interaction
on
tall
fescue
(Festuca
arundinacea
Schreb)
in
terms
N
metabolism
plant
morphology
remains
uncertain.
Therefore,
objective
this
study
was
to
investigate
impacts
different
physiological
morphological
responses
fescue.
experiment
designed
with
(N0,
N2,
N4
representing
application
rates
0,
2,
4
g
m–2,
respectively)
irrigation
[W1,
W2,
W3,
W4,
W5
field
capacities
(FWCs)
90~100%,
75~85%,
60~70%,
45~55%,
30~40%,
respectively]
treatments,
relevant
indexes
content
NH4+–N
NO3−–N
as
well
physiology
were
determined.
results
demonstrated
significant
changes
contents
(SWC)
indexes,
except
for
enzymes
related
metabolism,
including
nitrite
reductase
(NiR),
glutamate
dehydrogenase
(GDH),
synthetase
(GOGAT).
stress
significantly
enhanced
use
efficiencies
(WUE
NUE),
NUE
treatment.
influenced
SWC,
content,
excluding
malondialdehyde,
NiR,
GOGAT,
above-
(AGB)
below-ground
biomass,
resulting
increased
WUE
NUE.
a
low
rate
effectively
alleviated
detrimental
SWC
glutamine
activity.
In
conclusion,
W2
N2
deemed
more
appropriate
treatments
low-maintenance
measures
turf.
Among
all
N2W2
is
recommended
optimal
treatment
due
its
ability
conserve
resources
while
still
ensuring
high
turf
quality.
Language: Английский
Migration mechanisms of soil carbon and nitrogen element during the natural restoration process in coal mining subsidence areas
Yantang Wang,
No information about this author
Chunming Hao,
No information about this author
Kaikai He
No information about this author
et al.
Chemistry and Ecology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: Nov. 15, 2024
Understanding
the
movement
and
alteration
of
carbon
nitrogen
elements
in
soil
is
crucial
for
addressing
ecological
restoration
coal
mining
subsidence
areas.
However,
migration
process
mechanisms
these
during
natural
remain
unclear.
This
study
analysed
fluctuating
variations
formation
TC
TN
content
profiles
at
different
times
Initially,
both
contents
decreased
followed
by
an
increase
process.
Soil
compaction
effects,
variation
C/N
ratio,
enzyme
activity
were
considered
as
predominant
factors
controlling
element
cycles
collapsed
profiles.
will
provide
valuable
insights
into
understanding
behind
recovery
while
establishing
a
scientific
basis
Language: Английский