International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(6)
Published: Jan. 1, 2023
The
traditional
methods
used
to
identify
plant
diseases
mostly
rely
on
expert
opinion,
which
causes
long
waits
and
enormous
expenses
in
the
control
of
crop
field
activities,
especially
given
that
majority
infections
now
existence
have
tiny
targets,
occlusions,
looks
are
similar
those
other
diseases.
To
increase
efficiency
precision
rust
disease
classification
a
fava
bean
field,
new
optimized
multilayer
deep
learning
model
called
YOLOv8
is
suggested
this
study.
3296
images
were
collected
from
farm
eastern
Morocco
for
dataset.
We
labeled
all
data
before
training,
evaluating,
testing
our
model.
results
demonstrate
developed
using
transfer
has
higher
recognition
than
models,
reaching
95.1%,
can
classify
into
three
severity
levels:
healthy,
moderate,
critical.
As
performance
indicators,
needed
standards
mean
Average
Precision
(mAP),
recall,
F1
score
93.7%,
90.3%,
92%,
respectively.
improved
model's
detection
speed
was
10.1
ms,
sufficient
real-time
detection.
This
study
first
employ
method
find
crops.
Results
encouraging
supply
opportunities
research.
Frontiers in Sustainable Food Systems,
Journal Year:
2024,
Volume and Issue:
8
Published: Nov. 21, 2024
Water-fertilizer
coupling
technology
has
emerged
as
a
pivotal
strategy
in
modern
agriculture,
recognized
for
its
potential
to
enhance
soil
environmental
quality,
promote
crop
growth,
and
ensure
sustainable
resource
utilization.
With
increasing
global
food
demands
concerns,
optimizing
agricultural
practices
is
essential
achieving
security
ecological
balance.
This
review
aims
systematically
the
direct
impacts
of
water-fertilizer
on
physical,
chemical,
biological
properties
soil,
while
elucidating
underlying
mechanisms
that
drive
responses.
Additionally,
it
evaluates
optimization
associated
benefits.
The
findings
indicate
significantly
improves
structural
stability,
enhances
microbial
diversity,
increases
enzyme
activities.
An
appropriate
ratio
markedly
boosts
biomass
carbon
nitrogen
content,
facilitating
nutrient
mineralization
accelerating
decomposition
organic
matter.
implementation
intelligent
management
systems
shown
water
use
efficiency
reduce
fertilizer
loss
rates,
thereby
minimizing
footprint
production.
crucial
improving
health,
yields,
efficiency.
not
only
supports
but
also
contributes
national
rural
revitalization
efforts.
Future
research
should
focus
interaction
among
crops,
water,
fertilizer.
It
strengthen
development
regulation
models
decision
support
guide
production
effectively.
Policymakers
are
encouraged
adoption
integrated
strategies
foster
resilience.
underscores
importance
advancing
means
achieve
productivity
safeguarding
integrity,
aligning
with
principles
socialism
Chinese
characteristics.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(6)
Published: Jan. 1, 2023
The
traditional
methods
used
to
identify
plant
diseases
mostly
rely
on
expert
opinion,
which
causes
long
waits
and
enormous
expenses
in
the
control
of
crop
field
activities,
especially
given
that
majority
infections
now
existence
have
tiny
targets,
occlusions,
looks
are
similar
those
other
diseases.
To
increase
efficiency
precision
rust
disease
classification
a
fava
bean
field,
new
optimized
multilayer
deep
learning
model
called
YOLOv8
is
suggested
this
study.
3296
images
were
collected
from
farm
eastern
Morocco
for
dataset.
We
labeled
all
data
before
training,
evaluating,
testing
our
model.
results
demonstrate
developed
using
transfer
has
higher
recognition
than
models,
reaching
95.1%,
can
classify
into
three
severity
levels:
healthy,
moderate,
critical.
As
performance
indicators,
needed
standards
mean
Average
Precision
(mAP),
recall,
F1
score
93.7%,
90.3%,
92%,
respectively.
improved
model's
detection
speed
was
10.1
ms,
sufficient
real-time
detection.
This
study
first
employ
method
find
crops.
Results
encouraging
supply
opportunities
research.
