Research on postharvest tomato freshness recognition method based on RGB‐S and ResNet34
Yu-Hua Huang,
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Juntao Xiong,
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Xinjing Jiang
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et al.
Journal of Food Science,
Journal Year:
2025,
Volume and Issue:
90(3)
Published: March 1, 2025
The
accurate
identification
of
postharvest
tomato
freshness
is
critical
for
fruit
growers
to
plan
their
storage,
transportation,
and
wholesale
processes.
In
this
study,
a
method
based
on
improved
frequency-tuned
(FT)
visual
saliency
detection
ResNet34
model
proposed
nondestructive
freshness.
L*,
Y,
H
components
were
extracted
as
effective
features
be
introduced
into
the
original
FT
algorithm
by
performing
color
space
analysis
image
processing
operations
tomatoes
variation
images
with
different
levels.
was
utilized
obtain
maps,
which
combined
corresponding
RGB
information
form
four-dimensional
data.
ResNet
four-channel
realize
classification
experimental
results
show
that
accuracy,
precision,
recall
are
98.38%,
98.69%,
98.32%,
respectively.
speed
single
0.0326
s.
study
demonstrated
recognizing
has
effectiveness
real-time
performance
can
provide
technical
support
vegetable
production
industries
consumers
when
shopping
fresh
tomatoes.
PRACTICAL
APPLICATION:
This
introduces
computer
vision
rapid
assessment
approach
permits
ascertain
produce
without
causing
damage,
thereby
markedly
enhancing
management
practices
such
distribution.
By
optimizing
handling
processes,
reduces
spoilage
producers
ensures
receive
high-quality
produce.
study's
findings
intended
advance
food
science,
specific
applications
in
technology
quality
control.
Language: Английский
Comprehensive Analysis of Physico-mechanical, Color, and FT-IR Properties in Diverse Wheat Varieties
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi,
Journal Year:
2024,
Volume and Issue:
14(3), P. 1031 - 1049
Published: Aug. 16, 2024
In
this
research,
physical
and
mechanical
properties,
as
well
color
changes
FT-IR
analyzes
of
13
different
wheat
varieties,
which
are
intensively
produced,
were
examined.
For
purpose,
Altay,
Harmankaya,
Çetinel,
Yunus,
Mufitbey,
Soyer
02,
Dumlupınar,
Bezostaja,
Sönmez,
ES-26,
Reis,
Karaman2000,
Nacibey
varieties
used.
As
a
result
the
research
Soyer-02
variety
exhibited
largest
seed
width
(3.42
mm)
thickness
(2.96
mm),
while
Müfitbey
had
smallest
(2.72
(2.36
mm).
Dumlupınar
showed
greatest
length
(7.82
with
having
shortest
(6.07
Surface
area
was
in
(53.35
mm²)
lowest
(36.03
mm²).
Arithmetic
geometric
mean
diameters
(4.61
mm
4.12
mm,
respectively),
showing
(3.72
3.54
Sphericity
ranged
from
61.22%
Reis
to
52.67%
Dumlupınar.
The
thousand-kernel
weight
varied
significantly,
recording
highest
(46.36
g)
Altay
(33.58
g).
Fracture
resistance
Bezostaja
(10.89
N
11.3
N),
(5.89
N).
Color
analysis
revealed
L
values
ranging
63.77
Çetinel
51.16
all
positive
'a'
values,
indicating
red
tones,
'b'
yellow
(32.81)
Harmankaya
(24.68).
broad
O-H
stretch
vibrations
(3270-3300
1/cm)
Müfitbey,
Soyer,
suggesting
high
moisture
or
phenolic
content.
Amide
I
(1640-1650
II
(1540-1545
bands
indicated
protein
Aliphatic
C-H
(2920-2925
1/cm
2850-2854
ES-26
Karaman
2000
suggested
lipid
content,
carbohydrate-specific
C-O
C-C
(1000-1240
Sönmez
starch
Language: Английский