Flexible PEI functionalized CO2 sensing system designed for climacteric fruit cold chain quality monitoring
Chemical Engineering Journal,
Год журнала:
2025,
Номер
unknown, С. 159680 - 159680
Опубликована: Янв. 1, 2025
Язык: Английский
YOLOv8-MDN-Tiny: A lightweight model for multi-scale disease detection of postharvest golden passion fruit
Postharvest Biology and Technology,
Год журнала:
2024,
Номер
219, С. 113281 - 113281
Опубликована: Окт. 28, 2024
Язык: Английский
The Control of Postharvest Soft Rot Caused by Rhizopus stolonifer on Kokei No. 14 Organic Sweet Potato Roots by Carvacrol, Thymol, and Thyme Oil
Foods,
Год журнала:
2025,
Номер
14(7), С. 1273 - 1273
Опубликована: Апрель 5, 2025
Soft
rotting
caused
by
Rhizopus
stolonifer
is
one
of
the
most
important
postharvest
decays
in
Kokei
No.
14
organic
sweet
potato
roots.
While
various
methods
have
been
explored
for
controlling
this
pathogen,
there
remains
a
need
effective,
safe,
and
applicable
alternatives,
particularly
using
essential
oils
(EOs).
This
study
evaluated
efficacy
EOs,
specifically
carvacrol,
thymol,
thyme
oil,
soft
rot.
We
conducted
both
vitro
vivo
tests
to
assess
their
effects
on
fungal
mycelial
growth,
spore
germination,
incidence
severity
rot
potatoes,
along
with
quality
evaluations
The
results
indicated
that
vapor
phase
oil
was
more
effective
than
contact
inhibiting
growth
germination.
In
revealed
all
three
EOs
significantly
reduced
rot,
thymol
at
300
mg/L,
carvacrol
500
mg/L
being
effective.
Quality
assessments
showed
minimal
impact
properties
such
as
firmness,
weight
loss,
color,
starch,
carotenoids,
flavonoids,
although
residual
odors
increased.
GC/MS
analysis
confirmed
contained
high
levels
other
antimicrobial
compounds,
suggesting
cumulative
activity
these
volatile
compounds
enhanced
bacteriostatic
effects.
Thyme
demonstrated
greater
reducing
development
compared
its
individual
components,
making
it
promising
biofumigant
diseases
These
findings
emphasized
potential
safe
approach
managing
decay.
Язык: Английский
YOLOv11n for precision agriculture: lightweight and efficient detection of guava defects across diverse conditions
Journal of the Science of Food and Agriculture,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 5, 2025
Abstract
BACKGROUND
Automated
fruit
defect
detection
plays
a
critical
role
in
improving
postharvest
quality
assessment
and
supporting
decision‐making
agricultural
supply
chains.
Guava
presents
specific
challenges
because
of
diverse
disease
types,
varying
maturity
levels
inconsistent
environmental
conditions.
Although
existing
you
only
look
once
(YOLO)‐based
models
have
shown
promise
tasks,
they
often
face
limitations
balancing
accuracy,
inference
speed
computational
efficiency,
particularly
resource‐constrained
settings.
This
study
addresses
this
gap
by
evaluating
four
YOLO
(YOLOv8s,
YOLOv5s,
YOLOv9s
YOLOv11n)
for
detecting
defective
guava
fruits
across
five
diseases
(scab,
canker,
chilling
injury,
mechanical
damage
rot),
three
(mature,
half‐mature
immature)
healthy
fruits.
RESULTS
Diverse
datasets
facilitated
robust
training
evaluation.
YOLOv11n
achieved
the
highest
mAP50‐95
(98.0%)
exhibited
bounding
box
loss
(0.0565),
classification
(0.2787),
time
(3.9
milliseconds)
(255
FPS).
YOLOv5s
had
precision
(94.9%),
while
excelled
recall
(96.2%).
YOLOv8s
offered
balanced
performance
metrics.
outperformed
all
with
lightweight
architecture
(2.6
million
parameters)
low
cost
(6.3
giga
floating‐point
operations
per
second),
making
it
suitable
applications.
CONCLUSION
These
results
highlight
YOLOv11n's
potential
applications,
such
as
automated
control,
which
require
high
accuracy
real‐time
analysis
provides
insights
into
deploying
to
enhance
efficiency
reliability
management.
©
2025
Society
Chemical
Industry.
Язык: Английский
Sensing Technology for Greenhouse Tomato Production: A Systematic Review
Smart Agricultural Technology,
Год журнала:
2025,
Номер
unknown, С. 101020 - 101020
Опубликована: Май 1, 2025
Язык: Английский
Sustainable Cookies Enriched With Spent Coffee Grounds: A Study on Nutritional, Textural, and Sensory Properties
Samer Mudalal,
Kenana Sawafta,
Mais Zaqdah
и другие.
Journal of Food Processing and Preservation,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Spent
coffee
grounds
(SCGs)
are
the
by‐products
of
brewing
process.
There
financial
and
environmental
consequences
associated
with
production
millions
tons
SCG
every
year.
This
research
explores
possibility
using
SCGs,
a
significant
by‐product
industry,
as
useful
component
in
cookie
recipes.
study
is
aimed
at
evaluating
effects
different
inclusion
levels
(0%,
5%,
10%,
15%)
on
physicochemical,
antioxidant,
sensory,
volatile
characteristics
cookies.
The
findings
demonstrated
that
SCG‐enriched
cookies,
especially
those
5%–10%
rate,
retained
acceptable
sensory
attributes
while
demonstrating
increased
dietary
fiber
antioxidant
activity.
However,
greater
(15%)
negatively
impacted
taste
texture.
Electronic
nose
revealed
when
amount
increased,
there
were
discernible
changes
profiles.
Our
baked
cookies
L
∗
b
values
gradually
significantly
decreased.
offers
promising
sustainable
alternative
for
functional
an
optimal
level
5%
broad
consumer
acceptability.
Particle
size
encapsulation
process
improvement
should
be
investigated
future
studies
to
enhance
stability
acceptance.
Язык: Английский