bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 29, 2024
Abstract
Accurate
estimation
of
leaf
nitrogen
concentration
and
shoot
dry-weight
biomass
in
leafy
vegetables
is
crucial
for
crop
yield
management,
stress
assessment,
nutrient
optimization
precision
agriculture.
However,
obtaining
this
information
often
requires
access
to
reliable
plant
physiological
biophysical
data,
which
typically
involves
sophisticated
equipment,
such
as
high-resolution
in-situ
sensors
cameras.
In
contrast,
smartphone-based
sensing
provides
a
cost-effective,
manual
alternative
gathering
accurate
data.
study,
we
propose
an
innovative
approach
estimating
by
integrating
smartphone
RGB
imagery
with
Light
Detection
Ranging
(LiDAR)
using
Amaranthus
dubius
(Chinese
spinach)
case
study.
The
influence
varying
dosages
on
individual
spectral
structural
features
derived
from
LiDAR
data
was
modeled.
Additionally,
the
indices
were
combined
model
both
biomass.
performance
parameter
modeling
evaluated
support
vector
regression,
random
forest
lasso
regression.
Results
demonstrate
that
use
can
accurately
estimate
total
reduced
concentration,
nitrate
biomass,
average
relative
root
mean
square
errors
low
0.06,
0.16,
0.05,
respectively.
Furthermore,
optimal
dosage
maximizing
Chinese
spinach
also
estimated
This
study
lays
groundwork
supporting
accessible
agriculture
practices.
Horticulturae,
Journal Year:
2024,
Volume and Issue:
10(4), P. 356 - 356
Published: April 3, 2024
The
current
N
and
P
fertilization
practices
for
vegetable
crops
grown
in
organic
soils
are
inaccurate
may
potentially
damage
the
environment.
New
models
needed.
Machine
learning
(ML)
methods
can
combine
numerous
features
to
predict
crop
response
fertilization.
Our
objective
was
evaluate
machine
predictions
marketable
yields,
offtakes,
N/P
ratio
of
crops.
We
assembled
157
multi-environmental
fertilizer
trials
on
lettuce
(Lactuca
sativa),
celery
(Apium
graveolens),
onion
(Allium
cepa),
potato
(Solanum
tuberosum)
documented
22
easy-to-collect
soil,
managerial,
meteorological
features.
random
forest
returned
moderate
substantial
strength
(R2
=
0.73–0.80).
Soil
managerial
were
most
important.
There
no
added
null
independent
universality
tests.
offtakes
impacted
by
P-related
features,
indicating
N–P
interactions.
mass
ratios
harvested
products
generally
lower
than
10,
suggesting
excess
that
would
trigger
plant
acquisition
possibly
alter
soil
C
cycles
through
microbial
processes.
Crop
prediction
ML
ex
post
diagnosis
proved
be
useful
tools
guide
management
decisions
soils.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Abstract
Purpose
Reductive
soil
disinfestation
(RSD)
can
remove
over-accumulated
nitrate
(NO3−-N)
from
topsoil
in
intensive
vegetable
fields
via
elevating
NO3−-N
consumption
processes.
The
duration
of
cultivation
may
affect
the
relative
importance
these
consuming
processes
during
RSD
treatment
by
altering
properties.
However,
it
remains
elusive
how
affects
fates
treatment.
Methods
Here,
a
column
experiment
labeled
with
K15NO3
was
conducted
to
investigate
effects
different
ages
(5,
10,
20
and
30
years)
vegetables
on
under
Results
results
showed
that
more
than
91.8%
added
15NO3−-N
removed
treatment,
regardless
years.
There
trade-off
between
denitrification
leaching
into
subsoil,
both
which
together
accounted
for
85.5–97.1%
15NO3−-N,
proportion
gaseous
15N
loss
(Pdenitrification)
initially
increased
5
10
years
cultivation,
then
decreased
further
ages,
but
trend
reversed
subsoil
(Pleaching).
structural
equation
model
revealed
initial
carbon/nitrogen
ratio
had
an
indirect
positive
effect
Pdenitrification
driving
nirK
abundance
Conclusion
Overall,
our
highlight
critical
role
using
removing
accumulated
its
Pleaching
as
cultivation.
Horticulturae,
Journal Year:
2025,
Volume and Issue:
11(4), P. 350 - 350
Published: March 25, 2025
Climate
change
has
intensified
the
increase
in
irrigated
crops
to
solve
frequent
droughts,
but
part
of
stress
continues
due
heat
waves,
and
for
these
systems,
there
is
a
lack
in-depth
discussion
about
their
damage
strategies
minimize
this
damage.
The
caused
by
high
temperatures
may
be
exacerbated
with
nutritional
disorder
nitrogen,
optimized
management
nutrient
can
help
mitigate
effects
stress.
This
merits
further
debate,
as
it
would
sustainable
strategy
without
risk
environment
at
same
time
could
induce
greater
plant
tolerance
review
will
address
relevance
rising
isolated
on
crop
nutrition
productivity
role
nitrogen
use
mitigating
propose
future
perspectives
research
that
researchers
improve
thermotolerance.
Nitrogen
plays
an
essential
metabolism,
inducing
production
proteins
from
photosynthesis,
boosting
primary
secondary
metabolism
and,
consequently,
defense
systems
plant.
Studies
indicate
adequate
supplementation
resilience
temperatures,
improving
water
efficiency
promoting
synthesis
shock
proteins.
In
addition,
new
fertilizer
management,
such
nitrification
inhibitors
biofertilizers,
have
demonstrated
reducing
environmental
losses,
they
impact
mitigation.
Although
negative
waves
plants,
are
still
gaps
knowledge
underlying
biochemical
physiological
mechanisms
involved
whether
doses
N
used
really
optimal
maximizing
plant’s
system
against
outlook
become
important
not
only
guarantee
yields
also
wave
losses
strengthening
deal
context
climate
change,
better
understanding
benefits
manage
towards
more
agriculture.
Agronomy,
Journal Year:
2025,
Volume and Issue:
15(4), P. 827 - 827
Published: March 27, 2025
Adopting
an
optimal
cropping
regime
is
crucial
for
sustainable
soil
use.
However,
how
different
regimes
impact
phosphorus
(P)
availability
and
the
underlying
mechanism
remain
unclear.
Here,
a
10-year
field
experiment
was
performed
to
examine
influence
of
regimes,
including
maize–soybean
rotation
(MSR),
continuous
maize
(CMC),
farmland
fallow
(FALL),
under
unfertilized
fertilized
conditions
in
Northeast
China.
The
P
forms
were
analyzed
using
chemical
fractionation
solution
phosphorus-31
nuclear
magnetic
resonance.
Compared
FALL,
total
contents
significantly
lower
MSR
CMC
systems.
Moreover,
higher
than
those
CMC.
Correlation
analysis
showed
that
there
significant
positive
correlations
between
contents.
Redundancy
revealed
organic
carbon
(SOC)
as
most
factor
influencing
P.
Structural
equation
modeling
demonstrated
direct
impacts
SOC,
nitrogen,
phosphorus,
Olsen
on
phosphatase
activity,
which
exhibited
availability.
In
summary,
effective
promoting
accumulation
this
region.