Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for fish weight estimation based on fish tracks identified in images. In some implementations, a method includes obtaining images of fish enclosed in a fish enclosure, identifying fish tracks shown in the images of the fish, determining a quality score for each of the fish tracks, selecting a subset of the fish tracks based on the quality scores, determining a representative weight of the fish in the fish enclosure based on weights of the fish shown in the subset of the fish tracks, and outputting the representative weight for display or storage at a device connected to the one or more processors

An information processing device includes a detection unit and a calculation unit. The detection unit detects, as a measurement use point, a portion that is used for prescribed length measurement of the object, in each of sectioned regions, in an object image included in the photographed image, set on both sides with respect to a reference line which is set for the object image and by which the object image is sectioned. The calculation unit calculates the length of a segment, in each of the sectioned regions, between the measurement use point and the intersection point between the reference line and a perpendicular line passing through the measurement use point and being perpendicular to the reference line. Further, the calculation unit calculates a length, in the object, to be measured, by adding together the calculated lengths of the segments.

An information processing device includes a detection unit and a calculation unit. The detection unit detects, as a measurement use point, a portion that is used for prescribed length measurement of the object, in each of sectioned regions, in an object image included in the photographed image, set on both sides with respect to a reference line which is set for the object image and by which the object image is sectioned. The calculation unit calculates the length of a segment, in each of the sectioned regions, between the measurement use point and the intersection point between the reference line and a perpendicular line passing through the measurement use point and being perpendicular to the reference line. Further, the calculation unit calculates a length, in the object, to be measured, by adding together the calculated lengths of the segments.

A process for harvesting fish eggs is provided, in particular fish eggs from Salmon. The process comprises rearing sexually immature salmon in an aquatic environment in stages during which at least the light exposure and time span is adjusted. The rearing includes at least a winter-summer period that comprises a winter life-cycle stage, within which the broodstock is exposed to light that simulates winter light exposure, and a subsequent summer life-cycle stage, within which the broodstock is exposed to light that simulates summer light exposure, wherein the total Accumulated Thermal Unit (ATU) during the winter-summer period is no more than 5000. The inventions also provides salmon eggs that are produced by the disclosed process.

A process for harvesting fish eggs is provided, in particular fish eggs from Salmon. The process comprises rearing sexually immature salmon in an aquatic environment in stages during which at least the light exposure and time span is adjusted. The rearing includes at least a winter-summer period that comprises a winter life-cycle stage, within which the broodstock is exposed to light that simulates winter light exposure, and a subsequent summer life-cycle stage, within which the broodstock is exposed to light that simulates summer light exposure, wherein the total Accumulated Thermal Unit (ATU) during the winter-summer period is no more than 5000. The inventions also provides salmon eggs that are produced by the disclosed process.

It includes an intensity pattern determination section to determine an intensity pattern indicating a distribution of a magnitude of a target quantity in at least a part of a moving path of the moving object, a subarea determination section to determine, among a plurality of subareas, one or more subareas having an intensity pattern which matches or is similar to an intensity pattern determined by the intensity pattern determination section based on map information which associates area identification information which identifies each of a plurality of subareas included in a target region having a predetermined geographic range and an intensity parameter indicating a magnitude of a target quantity premeasured in the subarea, and an output section to output, as a location of the moving object, one or more subareas determined by the subarea determination section.

Techniques and systems for robotic aquaculture are described. In one embodiment, for example, a mariculture system may include an aquatic animal containment system operative to hold a population of aquatic animals, the aquatic animal containment system comprising an enclosed hull having a receptacle configured to receive a mechanical core, the mechanical core configured to store at least one sub-system to implement at least one function of mariculture system, and a position management system operative to maintain the enclosed hull at a depth below a surface of a body of water. Other embodiments are described.

Techniques and systems for robotic aquaculture are described. In one embodiment, for example, a mariculture system may include an aquatic animal containment system operative to hold a population of aquatic animals, the aquatic animal containment system comprising an enclosed hull having a receptacle configured to receive a mechanical core, the mechanical core configured to store at least one sub-system to implement at least one function of mariculture system, and a position management system operative to maintain the enclosed hull at a depth below a surface of a body of water. Other embodiments are described.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for controlling a camera to observe aquaculture feeding behavior. In some implementations, a method includes moving a camera to a first position, obtaining an image captured by the camera at the first position, determining a feeding observation mode, and based on the feeding observation mode and analysis of the image, determining a second position to move the camera.

Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish.