Aquaculture

Aquaculture

Aquaculture

With the world’s population on course to reach 9.7
billion by 2050, the global demand for protein is expected to grow by 40%. One way to meet our protein needs is to sustainably maintain both wild fish reserves and farmed fish.
But with pressure on the already over-exploited wild fish reserves, communities worldwide, including the UN’s Food and Agriculture Organization, are calling for more efficient ways to manage both wild fish stocks and the ocean’s natural biodiversity.
It would help if we provide fish with optimal environmental conditions by reducing stress levels, protecting against parasitic outbreaks and ensuring there is enough food—and developing the technology to do so.

In order to effectively observe fish in their natural state, a technology
is needed which would enable reaching each nook of the fish farm—where, for example, frightened specimens might be hiding.It must be observed whether the feed reaches all the fish or only the more aggressive alpha specimens, whether the fish have parasites or any other health problems, etc.”

Sampling system

The robot will be equipped with a sample collection system.
where it will collect water samples from different places in the cage
then send it to the in-board lab on the ship to analyze it

Data collection system

The Remotely operated underwater vehicle has a variety of
sensors which will collect data about temperature, Ph, acidity,
oxygen levels, CO2 levels, water composition ect… to
monitor the water quality where the fish are living because it
affects the quality of the protein produced.
effectively monitor and control water quality is one of the keys.
concerns for aquaculture industry to ensure high productivity.
and high quality. There are four major categories of water.
quality concerns that affect aquaculture cultivations, namely, (1)
physical parameters, e.g., pH, temperature, dissolved oxygen,
and salinity, (2) organic contaminants, (3) biochemical hazards,
e.g., cyanotoxins, and (4) biological contaminants, i.e.,
pathogens.

Image recognition and computer vision

In order to solve the escape issue, we will be
integrating an image recognition program which will detect any
damage or cracks in the cage walls. Moreover, we can analyze the
fish’s behavior and see if they are stressing out and this is very.
important because it affects the protein quality. Other than that,
the robot can estimate the growth rate of the fish daily by
measuring the size and weight using its computer vision
algorithm to provide the data to the inspectors