Foods,
Год журнала:
2024,
Номер
13(21), С. 3349 - 3349
Опубликована: Окт. 22, 2024
Access
to
food
products
is
becoming
more
and
complex
due
population
growth,
climate
change,
political
economic
instability,
disruptions
in
the
global
value
chain,
as
well
changes
consumption
dynamics
insecurity.
Therefore,
agri-food
chains
face
increasingly
greater
challenges
responding
these
dynamics,
where
digitalization
of
systems
has
become
an
innovative
alternative.
However,
efforts
adopt
use
technologies
fourth
industrial
revolution
(precision
agriculture,
smart
Industrial
Internet
Things,
Food,
among
others)
are
still
a
challenge
improve
efficiency
links
production
(cultivation),
processing
(food
production),
final
consumption,
from
perspective
implementation
Food
Informatics
that
traceability,
authenticity,
consumer
confidence,
reduce
fraud.
This
systematic
literature
review
proposes
identification
barriers
enablers
for
chain.
The
PRISMA
methodology
was
implemented
identification,
screening,
eligibility,
inclusion
articles
Scopus
Clarivate
databases.
A
total
206
records
were
included
in-depth
analysis,
through
which
34
adoption
(13
link,
12
9
marketing
link)
27
(8
11
8
identified.
Among
analogous
three
analyzed
privacy
information
security
high
investment
maintenance
costs,
while
mainly
government
support.
Sensors,
Год журнала:
2024,
Номер
24(11), С. 3586 - 3586
Опубликована: Июнь 2, 2024
The
potential
of
a
voltametric
E-tongue
coupled
with
custom
data
pre-processing
stage
to
improve
the
performance
machine
learning
techniques
for
rapid
discrimination
tomato
purées
between
cultivars
different
economic
value
has
been
investigated.
To
this
aim,
sensor
array
screen-printed
carbon
electrodes
modified
gold
nanoparticles
(GNP),
copper
(CNP)
and
bulk
subsequently
poly(3,4-ethylenedioxythiophene)
(PEDOT),
was
developed
acquire
be
transformed
by
pipeline
then
processed
set
commonly
used
classifiers.
GNP
CNP-modified
electrodes,
selected
based
on
their
sensitivity
soluble
monosaccharides,
demonstrated
good
ability
in
discriminating
samples
cultivars.
Among
analysis
methods
tested,
Linear
Discriminant
Analysis
(LDA)
proved
particularly
suitable,
obtaining
an
average
F1
score
99.26%.
beneficial
reducing
number
input
features,
decreasing
computational
cost,
i.e.,
computing
operations
performed,
entire
method
aiding
future
cost-efficient
hardware
implementation.
These
findings
that
coupling
multi-sensing
platform
featuring
properly
sensors
LDA
provided
optimal
tradeoff
analytical
problem
solving
reliable
chemical
information,
as
well
accuracy
complexity.
results
can
preliminary
design
solutions
could
embedded
into
low-cost
portable
devices.
Heliyon,
Год журнала:
2024,
Номер
10(20), С. e39388 - e39388
Опубликована: Окт. 1, 2024
The
fourth
industrial
revolution
(Industry
4.0)
is
driving
significant
changes
across
multiple
sectors,
including
the
food
industry.
This
review
examines
how
Industry
4.0
technologies,
such
as
smart
sensors,
artificial
intelligence,
robotics,
and
blockchain,
among
others,
are
transforming
unit
operations
within
sector.
These
operations,
which
include
preparation,
processing/transformation,
preservation/stabilization,
packaging
transportation,
crucial
for
converting
raw
materials
into
high-quality
products.
By
incorporating
advanced
digital,
physical,
biological
innovations,
technologies
enhancing
precision,
productivity,
environmental
responsibility
in
production.
highlights
innovative
applications
key
findings
that
showcase
these
can
streamline
processes,
minimize
waste,
improve
product
quality.
adoption
of
innovations
increasingly
reshaping
way
prepared,
transformed,
preserved,
packaged,
transported
to
final
consumer.
work
provides
a
valuable
roadmap
various
sectors
agriculture
industries,
promoting
solutions
enhance
efficiency,
quality,
sustainability
throughout
entire
supply
chain.
Foods,
Год журнала:
2024,
Номер
13(21), С. 3349 - 3349
Опубликована: Окт. 22, 2024
Access
to
food
products
is
becoming
more
and
complex
due
population
growth,
climate
change,
political
economic
instability,
disruptions
in
the
global
value
chain,
as
well
changes
consumption
dynamics
insecurity.
Therefore,
agri-food
chains
face
increasingly
greater
challenges
responding
these
dynamics,
where
digitalization
of
systems
has
become
an
innovative
alternative.
However,
efforts
adopt
use
technologies
fourth
industrial
revolution
(precision
agriculture,
smart
Industrial
Internet
Things,
Food,
among
others)
are
still
a
challenge
improve
efficiency
links
production
(cultivation),
processing
(food
production),
final
consumption,
from
perspective
implementation
Food
Informatics
that
traceability,
authenticity,
consumer
confidence,
reduce
fraud.
This
systematic
literature
review
proposes
identification
barriers
enablers
for
chain.
The
PRISMA
methodology
was
implemented
identification,
screening,
eligibility,
inclusion
articles
Scopus
Clarivate
databases.
A
total
206
records
were
included
in-depth
analysis,
through
which
34
adoption
(13
link,
12
9
marketing
link)
27
(8
11
8
identified.
Among
analogous
three
analyzed
privacy
information
security
high
investment
maintenance
costs,
while
mainly
government
support.
