VOL. 18, NO. 4 / FALL 2023 / URNER BARRY'S REPORTER • 19
that is the highest-quality reach
consumers, thus, improving customer
satisfaction. AI is also used to track
salmon throughout the processing
plant. By integrating data from
different stages of the production
process, systems can provide real-time
quality assurance and compliance
with food safety standards. This
also increases traceability, allowing
for quick identification and recall of
products if necessary.
However, implementation of AI
systems is not without its challenges.
One significant concern is data privacy
and security. As fish farms become
more connected with technology,
the risk for cyberattacks that can
compromise sensitive data becomes
greater. Ensuring robust cybersecurity
is a crucial step in the implementation
of AI into the operation. Additionally,
way from the pens to the plant. Both
wild as well as farmed operations
can benefit from the technology
that is beginning to come into play
within the plant. AI-driven vision
technology enables accurate and
precise sorting and grading of salmon
by assessing their size, weight, and
quality. Advanced high resolution
cameras capture real-time images
of the fish as they progress through
the line. AI algorithms then analyze
these visuals, classifying salmon into
distinct grades to make sure they
meet the required standards for their
various market segments.
This process also helps detect and
remove defective or low quality
salmon from the production line.
Examples include imperfections
such as bruises, discolorations, and
deformities. This ensures only salmon
the high upfront costs of implementing
AI technology may pose as a barrier,
especially to smaller sized operations.
AI is revolutionizing the salmon
industry by optimizing product
processes, helping with disease
management, improving environmental
sustainability, and reducing costs.
The integration of AI-driven solutions
not only benefits salmon farmers
and processors by increasing
efficiency and profitability, but also
contributes to the sustainability of
aquaculture supporting global demand
and safeguarding resources. As AI
advances, its applications are expected
to expand even further, contributing to
a more innovative and efficient sector
of the industry.
Article contributed by Joshua Bickert
jbickert@urnerbarry.com
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