Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 12, 2023
Abstract
This
study
introduces
a
comprehensive
framework
aimed
at
automating
the
process
of
detecting
yam
tuber
quality
attributes.
is
achieved
through
integration
Internet
Things
(IoT)
devices
and
robotic
systems.
The
primary
focus
development
specialized
computer
codes
that
extract
relevant
image
features
categorize
tubers
into
one
three
classes:
"Good,"
"Diseased,"
or
"Insect
Infected."
By
employing
variety
machine
learning
algorithms,
including
tree
support
vector
machines
(SVMs),
k-nearest
neighbors
(KNN),
an
impressive
accuracy
over
90%
in
effective
classification.
Furthermore,
algorithm
was
designed
utilizing
artificial
neural
network
(ANN),
which
exhibited
92.3%
based
on
its
confusion
matrix
analysis.
effectiveness
developed
were
substantiated
deployment
testing.
Although
few
instances
misclassification
observed,
overall
outcomes
indicate
significant
potential
for
transforming
assessment
contributing
to
realm
precision
agriculture.
alignment
with
prior
research
endeavors
within
field,
highlighting
pivotal
role
automated
precise
assessment.
IoT
systems
agricultural
practices
presents
exciting
possibilities
data-driven
decision-making
heightened
productivity.
minimizing
human
intervention
providing
real-time
insights,
approach
has
optimize
processes.
Therefore,
this
successfully
demonstrates
practical
application
technologies
purpose
detection,
laying
groundwork
progress
sector.
ACS Omega,
Journal Year:
2024,
Volume and Issue:
9(13), P. 15134 - 15142
Published: March 20, 2024
Wencheng
waxy
yam
is
famous
for
its
glutinous
and
resilient
taste,
similar
to
rice,
but
there
currently
a
lack
of
systematic
research
on
the
quality
this
featured
product,
little
known
about
pesticide
residues.
We
carried
out
2
year
investigation
at
seven
sites
from
2021
2022
determine
oxidase
content
phytochemical
characteristics,
namely,
amylose,
amylopectin,
protein,
reducing
sugar,
mineral
contents,
such
as
K,
Fe,
Zn,
including
status
The
results
showed
that
was
affected
by
rainfall,
adequate
water
reduced
production
oxidase,
polyphenol
peroxidase,
superoxide
dismutase,
during
late
growth
stage
yam,
which
beneficial
browning
in
processing.
Radar
map
analysis
that,
with
comprehensive
evaluation,
standardized
1
had
relatively
higher
than
3–7
small
farmers.
multiresidue
testing
no
pesticides
were
detected
64.29%
samples,
residues
samples
very
low,
making
consumption
safe
consumers.
These
findings
could
be
exploitation
health
benefits
tubers
innovation
yam-based
functional
products.
Wencheng
waxy
yam
is
famous
for
its
glutinous
and
resilient
taste,
similar
to
rice,
but
there
currently
a
lack
of
systematic
research
on
the
quality
this
featured
product,
little
known
about
pesticide
residues.
We
carried
out
2-year
investigation
at
seven
sites
from
2021
2022
determine
oxidase
content
phytochemical
characteristics,
namely
amylose,
amylopectin,
protein,
reducing
sugar,
mineral
contents
such
as
K,
Fe,
Zn,
,
including
status
The
results
showed
that
was
affected
by
rainfall,
adequate
water
reduced
production
oxidase,
polyphenol
(PPO),
peroxidase
(POD),
superoxide
dismutase
(SOD),
during
late
growth
stage
yam,
which
beneficial
browning
in
processing.
Radar
map
analysis
that,
with
comprehensive
evaluation,
standardized
1
2
had
relatively
higher
than
3–7
small
farmers.
multi-residue
testing
no
pesticides
were
detected
64.29%
samples,
residues
samples
very
low,
making
consumption
safe
consumers.
These
findings
could
be
exploitation
health
benefits
tubers
innovation
yam-based
functional
products.
