Pollution Research,
Journal Year:
2024,
Volume and Issue:
43(1-2), P. 124 - 133
Published: Jan. 1, 2024
Precision
Agriculture
(PA)
is
an
innovative
farming
method
that
utilizes
cutting-edge
technologies
to
maximize
crop
productivity,
minimize
resource
usage,
and
improve
overall
agricultural
effectiveness.This
paper
presents
a
comprehensive
summary
of
Agriculture,
emphasizing
its
fundamental
tools
examining
present
patterns
in
India's
sector.The
research
explores
the
implementation
technology-based
methods,
such
as
satellite
imagery,
sensors,
data
analytics,
empower
Indian
farmers
make
well-informed
choices,
optimize
tackle
difficulties
brought
about
by
shifting
climatic
conditions.This
seeks
provide
valuable
insights
into
integrating
advanced
for
sustainable
precision-based
practices
analyzing
current
state
India.
Crop
disease
prediction
involves
using
data
and
technology
to
forecast
the
occurrence
of
diseases
in
crops.
This
is
a
valuable
tool
for
farmers
agricultural
professionals,
as
it
helps
them
take
preventive
measures
manage
crops
more
effectively.
Especially
Tomato
crop
essential
enabling
early
detection,
reducing
chemical
usage,
optimizing
resource
allocation,
improving
yield
quality.
Various
researches
have
conducted
on
plant
identification
that
included
with
machine
learning
neural
networks
related
algorithms.
In
this
paper,
an
optimized
CNN
model
was
introduced
classify
disease-infected
leaf
tomato
plants.
our
model,
Leaf
Disease
Detection
dataset
from
Kaggle
utilized
detect
disease.
contains
ten
distinct
classes,
each
encompassing
1000
individual
samples,
resulting
cumulative
size
10,000
pieces.
The
proposed
approach
has
gained
accuracy
96%
100
epochs,
rate
0.001
selected
dataset.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 141090 - 141099
Published: Jan. 1, 2023
This
work
aimed
to
compare
the
effect
of
family-centered
nursing
and
routine
on
treatment
children
with
chronic
lower
limb
wounds.
A
total
112
wounds
limbs
were
divided
into
a
test
group
(56
cases)
control
cases).
The
in
given
intervention,
while
those
intervention.
Additionally,
an
image
segmentation
algorithm
based
deep
convolutional
neural
network
was
proposed
segment
wound
images.
results
showed
that
there
no
significant
differences
sex,
injury
site
(left
or
right
limb),
age,
height,
weight,
cause
disease
(scald,
blow,
fall)
between
(P
>
0.05).
pain
score
3.38
±
0.75
6.24
1.48.
Compared
group,
<
effective
rate
(92.86%)
significantly
higher
than
(78.57%)
accuracy
DCNN
model
both
training
datasets
FCM
that,
compared
nursing,
intervention
had
more
extremities
clinical
promotion
value.
Advances in environmental engineering and green technologies book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 71 - 94
Published: Jan. 6, 2023
Artificial
intelligence
(AI)
is
well
known
for
diverse
applications
in
many
fields
including
agriculture.
The
use
of
AI
the
agricultural
field
has
allowed
optimization
real-time
and
with
less
cost
effort.
This
chapter
presents
a
bibliometric
analysis
future
was
carried
out
using
online
Scopus
tool
VOSviewer
software.
outputs
show
an
increasing
trend
documents
from
1979
to
2021
2020
most
productive
year
terms
quantity.
Computer
science,
engineering,
Agricultural
Biological
sciences,
environmental
science
are
main
subjects
while
United
States,
China,
India
influential
field.
field,
article
conference
papers
top
two
doctypes.
For
trend,
research
this
turning
toward
machine
learning,
Internet
things,
deep
robots,
learning
algorithms,
big
data,
data
analysis,
image
processing,
support
vector
machines,
automation.
Open Life Sciences,
Journal Year:
2023,
Volume and Issue:
18(1)
Published: Jan. 1, 2023
Abstract
This
study
aimed
to
assess
the
feasibility
of
diagnosing
secondary
pulmonary
fungal
infections
(PFIs)
in
patients
with
hematological
malignancies
(HM)
using
computerized
tomography
(CT)
imaging
and
a
support
vector
machine
(SVM)
algorithm.
A
total
100
HM
complicated
by
PFI
underwent
CT
scans,
they
were
included
training
group.
Concurrently,
80
same
underlying
disease
who
treated
at
our
institution
test
The
types
pathogens
among
different
features
compared.
Radiomic
extracted
from
data
patients,
diagnostic
SVM
model
was
constructed
integrating
these
clinical
characteristics.
Aspergillus
most
common
pathogen
responsible
for
PFIs,
followed
Candida
,
Pneumocystis
jirovecii
Mucor
Cryptococcus
descending
order
occurrence.
Patients
typically
exhibited
bilateral
diffuse
lung
lesions.
Within
algorithm
model,
six
radiomic
features,
namely
square
root
inverse
covariance
gray-level
co-occurrence
matrix
(square
IV),
matrix,
small
dependency
low
emphasis,
significantly
influenced
diagnosis
PFIs
HM.
area
under
curve
values
sets
0.902
0.891,
respectively.
Therefore,
images
based
on
demonstrated
robust
predictive
capability
conjunction
Pollution Research,
Journal Year:
2024,
Volume and Issue:
43(1-2), P. 124 - 133
Published: Jan. 1, 2024
Precision
Agriculture
(PA)
is
an
innovative
farming
method
that
utilizes
cutting-edge
technologies
to
maximize
crop
productivity,
minimize
resource
usage,
and
improve
overall
agricultural
effectiveness.This
paper
presents
a
comprehensive
summary
of
Agriculture,
emphasizing
its
fundamental
tools
examining
present
patterns
in
India's
sector.The
research
explores
the
implementation
technology-based
methods,
such
as
satellite
imagery,
sensors,
data
analytics,
empower
Indian
farmers
make
well-informed
choices,
optimize
tackle
difficulties
brought
about
by
shifting
climatic
conditions.This
seeks
provide
valuable
insights
into
integrating
advanced
for
sustainable
precision-based
practices
analyzing
current
state
India.
