The system for uniquely identifying individual subjects from a group of subjects by storing a plurality of records, wherein each record corresponds to one or more individual subjects and includes at least one feature of one or more characteristics of the corresponding one or more individual subjects; obtaining a digital image of a current subject that captures a current feature of the one or more characteristics of the current subject; comparing the current feature of the current subject and one or more of the plurality of records; and identifying one or more aspects of the current subject based on the comparison.

Aquatic organism monitoring devices and aquatic organism monitoring methods are described. According to one aspect, a monitoring device includes a housing configured to be physically associated with an aquatic organism, environmental circuitry configured to generate a first output indicative of at least one environmental parameter of an environment of the organism, behavioral circuitry coupled with the housing and configured to generate a second output indicative of at least one behavioral parameter of the organism, physiological circuitry coupled with the housing and configured to generate a third output indicative of at least one physiological parameter of the organism, and a transmitter configured to transmit an acoustic signal externally of the housing, and wherein the acoustic signal includes information regarding one or more of the at least one environmental parameter, the at least one behavioral parameter, and the at least one physiological parameter.

The system for uniquely identifying subjects from a target population operates to acquire, process and analyze images to create data which contains indicia sufficient to uniquely identify an individual in a population of interest. This system implements an automated, image-based process that captures data indicative of a selected set of external characteristics for subjects that are members of a target population of a predetermined species.

The system for uniquely identifying subjects from a target population operates to acquire, process and analyze images to create data which contains indicia sufficient to uniquely identify an individual in a population of interest. This system implements an automated, image-based process that captures data indicative of a selected set of external characteristics for subjects that are members of a target population of a predetermined species.

A device for grading aquatic organisms is disclosed. The device includes a pump, a grader, two or more receptacles for receiving aquatic organisms from the grader, a counter, and a control system. The grader comprises a rotating barrel with a plurality of chambers, a bottom part of each of the plurality of chambers having an adjustable slit. The control system is designed to adjust at least one of a rotation rate of the grader or a slit setting of the grader based on information from the counter.

A device for grading aquatic organisms is disclosed. The device includes a pump, a grader, two or more receptacles for receiving aquatic organisms from the grader, a counter, and a control system. The grader comprises a rotating barrel with a plurality of chambers, a bottom part of each of the plurality of chambers having an adjustable slit. The control system is designed to adjust at least one of a rotation rate of the grader or a slit setting of the grader based on information from the counter.

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 multi-sensor system for monitoring water parameters, the system including a first metallic layer; a dielectric layer formed on the first metallic layer; a second metallic layer formed on the dielectric layer; a power source electrically connected to the second metallic layer; a computing device electrically connected to the second metallic layer; and a stretchable outer layer that encapsulates the first metallic layer, the dielectric layer, the second metallic layer, the power source and the computing device. The multi-sensor system is stretchable and flexible.

A computerized machine (a) determines temporal and spatial statistical characterizations for each one of plural sonic events, (b) classifies certain pairings among the sonic events as comparable, and (c) estimates a minimum number of sonic sources, some of which are in motion, that could have generated the sonic events. Sonic event times and positions can be characterized by corresponding temporal and spatial confidence intervals. A pairing of sonic events is classified as comparable only when that pairing meets one or more preselected constraints, some of which depend on the temporal and spatial statistical characterizations. The estimated minimum number of sonic sources is equal to the number of sonic events in a longest antichain within a chronological ordering of the set of sonic events. An antichain comprises a subset of the sonic events for which no pairing of sonic events of that subset is a comparable pairing.