A method (110) for monitoring at least one aquaculture pond (112) is proposed. The method (110) comprises: a) monitoring at least one aerial parameter of use of the at least one aquaculture pond (112); b) determining a temporal development of the aerial parameter of use; and c) determining an intensity of use of the aquaculture pond (112) by using the temporal development of the aerial parameter of use.

A fish monitoring system deployed in a particular area to obtain fish images is described. Neural networks and machine-learning techniques may be implemented to periodically train fish monitoring systems and generate monitoring modes to capture high quality images of fish based on the conditions in the determined area. The camera systems may be configured according to the settings, e.g., positions, viewing angles, specified by the monitoring modes when conditions matching the monitoring modes are detected. Each monitoring mode may be associated with one or more fish activities, such as sleeping, eating, swimming alone, and one or more parameters, such as time, location, and fish type.

Apparatus for rearing of aquatic insects, comprises one or more water trays filled with water and larvae being reared, a water inlet leading to the water surface and a water outlet leading from the water surface, the water inlet closed with an inlet valve and the water outlet closed with an outlet valve. The tray has a mesh, and the insects reared in water in the tray are above the mesh. The tray has a water cleaning configuration in which the inlet and outlet valves are open to flush clean water through the tray while the mesh holds the insects so that they do not get flushed out as the water is changed.

Apparatus for rearing of aquatic insects, comprises one or more water trays filled with water and larvae being reared, a water inlet leading to the water surface and a water outlet leading from the water surface, the water inlet closed with an inlet valve and the water outlet closed with an outlet valve. The tray has a mesh, and the insects reared in water in the tray are above the mesh. The tray has a water cleaning configuration in which the inlet and outlet valves are open to flush clean water through the tray while the mesh holds the insects so that they do not get flushed out as the water is changed.

A fully air-powered, n-way redundant aquaponic system for integrated cultivation of various fish, plant, and mushroom species, off-grid, with each grow bed including a respective DC air pump, solar panel, and battery to ensure self-sufficiency, redundancy, and enhanced resilience. Each mushroom grow bed also includes an evaporative cooling system for year-round mushroom production.

A fully air-powered, n-way redundant aquaponic system for integrated cultivation of various fish, plant, and mushroom species, off-grid, with each grow bed including a respective DC air pump, solar panel, and battery to ensure self-sufficiency, redundancy, and enhanced resilience. Each mushroom grow bed also includes an evaporative cooling system for year-round mushroom production.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for monocular underwater camera biomass estimation. In some implementations, an exemplary method includes obtaining a plurality of images of fish captured by a monocular underwater camera; providing the plurality of images that were captured by the monocular underwater camera to a first model trained to detect one or more fish within the plurality of images; generating one or more values for each detected fish as a set of values; generating a biomass distribution of the fish based on the set of values; and determining an action based on the biomass distribution.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for monocular underwater camera biomass estimation. In some implementations, an exemplary method includes obtaining a plurality of images of fish captured by a monocular underwater camera; providing the plurality of images that were captured by the monocular underwater camera to a first model trained to detect one or more fish within the plurality of images; generating one or more values for each detected fish as a set of values; generating a biomass distribution of the fish based on the set of values; and determining an action based on the biomass distribution.

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 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.