by
AKVA group, Norway
By designing a sophisticated and dynamic artificial intelligence system, AKVA
group aim to convert aquaculture from art into more of a science.
Salmon farming has expanded significantly over the past 30 years, resulting in
phenomenal growth and a footprint where most suitable sites are already being
utilised and at capacity. Future growth relies on the industry to optimise
existing farms and to further industrialise new concepts both off-shore and
on-shore.
It is well recognised that most farms have the potential to be further
optimised with regards to feed optimisation and fish welfare, together
accounting for more than 50 percent of farming costs.
Emphasis on AI
“While past innovations have focused on hardware and data collection, we
discovered the problem is not a lack of data, but the rigour and overwhelming
pressure for farmers to consistently interpret that data and apply correlations
with fish activity, feeding patterns, sensory data, feed particles and other
historical information in real time,” says Petter Idar Jenssen, SVP
Digitalisation in AKVA group.
In 2018, AKVA group went into partnership with Observe Technologies and formed
AKVA Observe in order to bring a new intelligent feeding assistant to the
market.
“By designing a sophisticated and dynamic artificial intelligence system, we
aim to convert aquaculture practices from art into science. The market response
has been incredible and to date over 20 farms around the globe are using the
solution,” Jenssen says.
Taps into existing video and data streams
AKVA Observe is built to be adaptable and empowering for farmers without the
hassle of introducing new equipment in the pens. The system taps into existing
camera streams found in salmon farms, analyses them in milliseconds and
provides a standardised view of fish activity and detection of feed particles
at different depths.
“Through the combination of these factors, the system is learning pen-based
trends and appetites to identify suggested optimum volume of food delivery for
satiation in real time. Furthermore, it is possible to plug in sensors, feeding
systems and other auxiliary data to make the analysis more comprehensive
supporting higher automation of farms,” explains Jenssen.
For the first time, farms have constant analytical and objective evidence of
how the fish react to feed and different conditions. As aquaculture booms as a
sector and more sites are regulated, the AI systems leverage cloud infrastructures
to give remote site level analysis and anomaly detection to degrees never seen
before.
Read more, HERE.
The Aquaculturists
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