NMR spectroscopy combined with chemometrics for quality assessment of common vegetable oils: A review
Tao Shi,
No information about this author
Tenghui Dai,
No information about this author
Tao Zhang
No information about this author
et al.
Trends in Food Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104889 - 104889
Published: Jan. 1, 2025
Language: Английский
Response to the Letter by Prof. Yoshiyasu Takefuji: Enhancing Methodological Rigor in Machine Learning for Food Authentication
Trends in Food Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104901 - 104901
Published: Feb. 1, 2025
Language: Английский
Rapid origin traceability and quality evaluation of Artemisia argyi Folium empowered by excitation-emission fluorescence spectroscopy and machine learning
Wennan Nie,
No information about this author
Jiahe Qian,
No information about this author
Shule Zhang
No information about this author
et al.
Microchemical Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 113384 - 113384
Published: March 1, 2025
Language: Английский
Prediction of lipid oxidation and polycyclic aromatic hydrocarbons in grilled sausages based on optimized back propagation neural network and computer vision
Hebao Mei,
No information about this author
Xing Wei,
No information about this author
Manzi Hu
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et al.
Journal of Food Measurement & Characterization,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
Language: Английский
AI in food industry automation: applications and challenges
Xiaodong Song,
No information about this author
Xueru Zhang,
No information about this author
Guanjun Dong
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et al.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: April 25, 2025
In
automated
production
and
processing
technologies
in
the
food
industry,
artificial
intelligence
(AI)
plays
a
key
role.
The
use
of
intelligent
automation
technology
multiple
processes
not
only
greatly
improves
efficiency,
but
also
ensures
safety
quality
products,
which
has
great
potential
for
innovative
revolution
industry.
This
paper
provides
an
overview
AI
its
applications
industry
automation,
focusing
on
testing,
processing,
data
analysis
prediction,
demonstrating
benefits
increased
reduced
costs
improved
product
quality.
However,
power
prompted
consideration
possibilities
limitations
introducing
equipment
or
systems
into
business
applications.
aim
this
is
to
provide
ideas
guidance
governments,
researches
personnels
hope
encouraging
accelerating
development
processing.
Language: Английский