Say Hello to Remora, the first fully autonomous net cleaner and inspector. With built-in sensors to monitor and inspect environmental data, the robot cleans and inspects fish farming pens while collecting data regarding the pen’s aquatic environment.
This technology takes the fish-farming industry into a new, more environmentally conscious future.
And the best thing? It’s available right now.
Top view
Side view
Traits | Remora autonomous cleaner and inspector | Traditional pressure cleaner |
Cleans without exposing fish to harmfull growth | ||
Automated inspection and reporting | ||
Autonomous and intelligent | ||
Cleans net in splash zone and over stitching rope | ||
No disturbance to the fish's growth/feeding | ||
Reduce wear and damage potential on the nets | ||
Predictable cost to fish farmers | ||
Cleaning frequency | Daily | Weekly + |
Size DWH, kg in air (*approximate for competition) | 60*60*35 cm 23 kg | 150*250*50 cm 300+ kg |
360° view
Remora Autonomous Cleaning Robot
The Remora robot is 100 per cent electric-powered, producing low environmental emissions than traditional high-pressure washing.
Our gentle, electrified Remora saves the environment significant carbon emissions. With an average use of 2800 kw/h renewable power per year, CO2 emissions are reduced by 22 to 30 tonnes per cage per year compared to high-pressure washing.
The vast majority of mitigation strategies for net cleaning rely on anti-fouling coatings such as copper and reactive removal of biofouling. Unfortunately, these approaches are costly and of limited efficacy and pose risks to the local environment, contributing to increased stress levels and fish mortality during grow-out at sea.
The use of copper in the nets causes damage to the aquatic environment and ecosystem, and in larger concentrations also for humans. Studies show that close to 30 per cent of the copper wears off the net during the initial high-pressure cleaning. Throughout the life of the pen net (three years), an estimated 80-90 per cent of copper is discharged to the sea, corresponding to 640 kilograms per net. The Remora technology eliminates the need for copper coating of the net.
The combination of frequent monitoring of the cage environment and biofouling prevention provides a significantly better growth environment in the pen.
A clean net increases the water flow in the pen resulting in higher oxygen content in the water, less pollution, dirt and other unwanted contents. In addition, Remora's cameras and sensors offer detailed insight into the note trends conditions over time, which again can optimize water conditions and operations.
A clean net leads to better water flow, higher oxygen content and proper temperatures improving the conditions for the fish.
Oxygen encourages appetite and general well-being, ensuring the fish grow well, stay healthy and lessen the impact of temperature-induced stress. Furthermore, infection pressure is reduced, minimizing the need for treatment. Using the Remora robots result in lower fish mortality and improved fish welfare.
Our oceans cannot naturally provide the demand for seafood, and by 2030, 62 per cent of all seafood produced for human consumption will come from fish farming. To feed the world's population with healthy, lean protein, we need sustainable fish farming focusing on good health and fish welfare. The Remora robot cleans and inspects fish farming cages while collecting data regarding the pen's aquatic environment, ensuring good health and welfare of fish.
While Remora washes the note during its daily trip, it also scans the entire net and collects essential data from all depths of the pen's aquatic environment. For example, Remora can report back the level of biofouling on the net together with potential holes and wear preventing fish escape.
Its advanced sensors for monitoring the environment will analyse and provide detailed insight into the condition of the note trends over time, enabling preventative maintenance and optimised operations for the farmers. Furthermore, the data collection and analysis allows farmers to compare facility vs facility across geographic regions to understand optimum farming conditions.
