Hydro propagation: Harnessing water for sustainable plant propagation and growth
Vishakha Saini,
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Gurjeet Singh,
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Pankaj Saha
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et al.
International Journal of Advanced Biochemistry Research,
Journal Year:
2024,
Volume and Issue:
8(3), P. 975 - 981
Published: Jan. 1, 2024
Hydro
propagation
is
a
novel
strategy
for
plant
multiplication,
and
essential
sustainable
agriculture.
This
approach
does
not
require
any
soil
at
all;
portions
especially
cuttings
are
simply
immersed
in
nutrient-rich
water
solutions.
It
has
many
advantages
including
root
development,
conservation,
effective
nutrient
delivery.
promising
easy
multiplication
quality
production
of
crops.
exact
control
over
growing
conditions,
increasing
success
rates.
Moreover,
this
technique
also
helpful
environment
as
it
involve
kind
pesticides
application
borne
diseases.
abstract
reveals
the
fundamentals
hydro
propagation,
emphasizing
how
can
completely
transform
traditional
way
cultivation.
The
objective
review
paper
to
compile
conclusions
results
regarding
till
date.
involves
future
directions
necessary
further
research
awareness.
Language: Английский
Determination Model of Epidermal Wettability for Apple Rootstock Cutting Based on the Improved U-Net
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(12), P. 2223 - 2223
Published: Dec. 5, 2024
Keeping
the
epidermis
of
apple
rootstock
cuttings
moist
is
important
for
maintaining
physiological
activities.
It
necessary
to
monitor
moisture
in
real
time
during
growth
process
cuttings.
A
machine
vision-based
discrimination
model
degree
cuttings’
was
designed.
This
optimizes
structure
semantic
segmentation
U-Net.
The
takes
Saturation
channel
and
Value
information
cutting
images
HSV
color
space
as
characteristics
moisture,
so
that
has
good
performance
blue-purple
supplementary
light
environment.
average
accuracy
improved
95.07%
dry
wet
without
light,
84.83%
with
light.
humidification
system
implanted
can
control
atomizer
complete
task
moisturizing
epidermis.
retention
rate
92.5%.
Compared
original
model,
effect
increased
by
26.87%.
experimental
results
show
U-Net
generalization
high
accuracy,
which
provides
a
method
design
an
accurate
system.
Language: Английский