The invention relates to a method for controlling a concentration of dissolved oxygen in a volume (V) of water (W), wherein a device (1) for dissolving oxygen in water (W) is submerged in said volume (V) of water, wherein oxygen is injected by the device (1) with an adjustable flow rate into a main water stream (W′) sucked into a housing (100) of the device (1), and wherein the oxygen enriched main water stream (W′) is discharged by the device (1) out of the housing (100) of the device (1) into said volume (V) of water (W), and wherein a current concentration of oxygen dissolved in the sucked main water stream (W′) is measured with an oxygen probe (6) that is integrated into the housing (100) of the device (1), wherein said current concentration of dissolved oxygen is transmitted in a wireless fashion to a hand-held device (9) of an operator, and wherein the flow rate of the injected oxygen is controlled such that the measured current concentration of dissolved oxygen approaches a pre-defined reference value.

A net repair patch latching unit comprising one or more carabiners. The carabiner of the net repair patch latching unit comprises at least one load-bearing section; a spine and a forepart; one or more first grooves configured to accommodate a yarn of the net to be repaired; at least one elongated bendable part having a distal end and a proximal end. The elongated bendable part comprises at least one transitional bending area connecting the spine and the proximal end of the at least one bendable part; one or more guiding nudges protruding from the load-bearing section; one or more attaching element protruding from the load-bearing section.

A system for external fish parasite monitoring in aquaculture, the system comprising: —a camera (52) suitable to be submerged in a sea pen suitable for containing fish, the camera being arranged for capturing images of the fish; and —an electronic image processing system (86) configured for identifying external fish parasites on the fish by analyzing the captured images, characterized by a camera and lighting rig (10) having a vertical support member (14), an upper boom (16) articulated to a top end of the support member (14) and carrying an upper lighting array (22), a lower boom (18) articulated to a lower end of the support member (14) and carrying a lower lighting array (24), and a housing (20) attached to the support member and carrying the camera (52), wherein the upper and lower lighting arrays (22, 44) are configured to illuminate, from above and from below, a target region inside a field of view of the camera (52).

A system for external fish parasite monitoring in aquaculture, the system comprising: —a camera (52) suitable to be submerged in a sea pen suitable for containing fish, the camera being arranged for capturing images of the fish; and —an electronic image processing system (86) configured for identifying external fish parasites on the fish by analyzing the captured images, characterized by a camera and lighting rig (10) having a vertical support member (14), an upper boom (16) articulated to a top end of the support member (14) and carrying an upper lighting array (22), a lower boom (18) articulated to a lower end of the support member (14) and carrying a lower lighting array (24), and a housing (20) attached to the support member and carrying the camera (52), wherein the upper and lower lighting arrays (22, 44) are configured to illuminate, from above and from below, a target region inside a field of view of the camera (52).

For oyster aquaculture, oysters are housed in cylindrical containers. The containers have open (e.g. mesh) sides allowing water and nutrient flow. Containers are attached at each end to a horizontal anchoring system, such as a pair of lines running near the water surface. The attachment involves rotatable connection, allowing the containers to roll. The containers include a traction surface, such as a ridged or toothed surface for traction, or another roughened or corrugated surface. This allows the containers to be rolled without disconnection from the anchoring system, for tumbling and transport. A container handling device mounted on a boat includes a ramp descending into the water and an operating area. The operating area includes a de-fouling bath and a surface on which the containers roll, facilitating tumbling. The container handling device travels along a line of containers with the anchor lines running overtop, lifting each container up and through the operating area in turn.

For oyster aquaculture, oysters are housed in cylindrical containers. The containers have open (e.g. mesh) sides allowing water and nutrient flow. Containers are attached at each end to a horizontal anchoring system, such as a pair of lines running near the water surface. The attachment involves rotatable connection, allowing the containers to roll. The containers include a traction surface, such as a ridged or toothed surface for traction, or another roughened or corrugated surface. This allows the containers to be rolled without disconnection from the anchoring system, for tumbling and transport. A container handling device mounted on a boat includes a ramp descending into the water and an operating area. The operating area includes a de-fouling bath and a surface on which the containers roll, facilitating tumbling. The container handling device travels along a line of containers with the anchor lines running overtop, lifting each container up and through the operating area in turn.

The present invention pertains to a method for automatic sea lice monitoring in fish aquaculture, the method comprising submerging a camera (4) in a sea pen (300) comprising fish, using the camera to make an image of at least one of said fish, analysing the image to differentiate between individual sea lice present on the fish and the fish itself and assessing the number of sea lice present on the fish, wherein the camera is attached to a device (1, 10, 100) for guiding the salmon along an imaging track (5), the camera being directed to the track.

The present invention pertains to a method for automatic sea lice monitoring in fish aquaculture, the method comprising submerging a camera (4) in a sea pen (300) comprising fish, using the camera to make an image of at least one of said fish, analysing the image to differentiate between individual sea lice present on the fish and the fish itself and assessing the number of sea lice present on the fish, wherein the camera is attached to a device (1, 10, 100) for guiding the salmon along an imaging track (5), the camera being directed to the track.

A sensor positioning system, includes an actuation server for communicating with components of the sensor positioning system. The sensor positioning system additionally includes a first actuation system and a second actuation system, wherein each actuation system includes a pulley system for maneuvering an underwater sensor system. The sensor positioning system includes a dual point attachment bracket that connects through a first line to the first actuation system and connecting through a second line to the second actuation system. The underwater sensor system is affixed to the first pulley system, the second pulley system, and the dual attachment bracket through the first line and the second line.

The present invention relates to a method and apparatus for providing a dynamic decision-making process in relation to feeding animals in water. More particularly, the present invention relates to a method and apparatus for improving feeding and/or farming strategies used in a fish farm. According to a first aspect, there is provided a computer-implemented method for feeding one or more aquatic animals, the method comprising the steps of: receiving pre-processed sensor data in relation to the one or more aquatic animals; inputting the pre-processed sensor data into one or more learned decision-making models, wherein the one or more learned decision-making models has been trained to substantially optimise the rate and amount of food provided to the aquatic animals; determining, by the one or more learned decision-making models using the received pre-processed sensor data, feeding instructions for the one or more aquatic animals; and outputting the feeding instructions from the one or more learned decision-making models.