Adaptive IoT and AI-Enhanced QualityAssurance System for Sustainable and Secure Bakery Production
Idris Hussain
No information about this author
International Journal of Innovative Science and Research Technology (IJISRT),
Journal Year:
2024,
Volume and Issue:
unknown, P. 638 - 642
Published: Nov. 25, 2024
This
research
is
the
response
of
growing
demand
for
high-
quality,
sustainable
bakery
products,
an
adaptive
IoT
and
AI-enhanced
quality
assurance
framework
tailored
production.
The
proposed
system
integrates
real-time
sensors
with
machine
learning
algorithms,
enabling
dynamic
adjustments
to
baking
parameters
based
on
environmental
variations
product
specifications.
self-
aims
ensure
consistent
while
reducing
production
inefficiencies.
To
address
cybersecurity
concerns
associated
networks,
incorporates
anomaly
detection
algorithms
secure
communication
protocols,
enhancing
resilience
against
cyber
threats
safeguarding
operational
integrity.
also
prioritizes
sustainability,
utilizing
energy-efficient
devices
exploring
energy
harvesting
from
equipment
power
sensors,
thereby
minimizing
footprint
bakery's
infrastructure.In
addition,
features
a
consumer
feedback
loop,
end-users
contribute
insights
which
further
refines
AI
in
alignment
market
preferences.
Through
advanced
data
management,
minimizes
waste
optimizes
resource
use,
advancing
create
scalable,
secure,
eco-conscious
solution
that
revolutionizes
production,
setting
precedent
applications
food
manufacturing.
Language: Английский
Understanding the Relationship Between Digital Transformation in Industry and ODS 9 Through the Lens of Bibliometrics
Revista de Gestão Social e Ambiental,
Journal Year:
2024,
Volume and Issue:
18(11), P. e010055 - e010055
Published: Nov. 27, 2024
Objective:
The
objective
of
this
study
was
to
analyze
the
relationship
between
digital
transformation
in
industry
and
Sustainable
Development
Goal
(SDG)
9.
Theoretical
Framework:
This
based
on
concepts
related
context
industry,
relation
sustainability
specifically
SDG
9,
which
were
adopted
discussion
results
generated.
Method:
a
bibliometric
approach
as
its
main
method,
using
VOSviewer
software
carry
out
analyses
co-occurrence
terms,
density
clusters
mapping
collaboration
countries,
data
from
Web
Science
scientific
database.
Results
Discussion:
indicated
five
thematic
groups,
terms
sustainability,
technological
adaptation
digitalization
stand
out,
have
proved
crucial
promoting
sustainable
industry.
Research
Implications:
practical
theoretical
implications
suggest
that
can
drive
industrialization,
with
an
impact
sectors
such
energy
construction,
indicating
need
for
policies
encourage
innovation.
Originality/Value:
contributes
by
highlighting
how
transformation,
especially
industries,
support
development,
offering
new
perspective
technologies
industrial
sustainability.
Language: Английский