The invention relates to a recirculating culture system for cultivating and/or breeding aquatic creatures, comprising: a recirculating system for circulating and controlling the temperature of a fluid, wherein the recirculating system has a culture pool (1) for receiving the fluid, a water reservoir (2) for storing the fluid, a temperature-control device (3) designed to supply thermal energy to and/or remove thermal energy from the fluid, a pump system (4) for circulating the fluid, and a filter system (5) for filtering the fluid; as well as a container (6) having at least one internal space (61), wherein the recirculating system is arranged in the at least one internal space (61) of the container (6).

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.

Disclosed is a feedback feeding system pond recirculation with fusion of machine vision and infrared detection. Feeding strategies are provided according to the feeding behavior of fish in cooperative with machine vision technology and infrared sensing technology. The pond recirculating aquaculture is an open environment. The change of natural environment may affect the feedback signal of the fish feeding behavior provided by the machine vision due to the low visibility; or it may affect the feedback signal of the fish feeding behavior provided by the infrared detection because low temperature may decrease feeding intensity. The fusion of these two strategies can solve the problem of intelligent feeding strategies in the pond recirculating aquaculture mode.

Disclosed is a feedback feeding system pond recirculation with fusion of machine vision and infrared detection. Feeding strategies are provided according to the feeding behavior of fish in cooperative with machine vision technology and infrared sensing technology. The pond recirculating aquaculture is an open environment. The change of natural environment may affect the feedback signal of the fish feeding behavior provided by the machine vision due to the low visibility; or it may affect the feedback signal of the fish feeding behavior provided by the infrared detection because low temperature may decrease feeding intensity. The fusion of these two strategies can solve the problem of intelligent feeding strategies in the pond recirculating aquaculture mode.

A watercraft for breeding aquatic organisms, including an aquaculture facility and a device for feeding water into the aquaculture facility so that water intended to be fed into the aquaculture facility can escape from a body of water in which the watercraft is floating. A feed opening for receiving the water from the body of water is open in the longitudinal direction of the watercraft and/or is arranged below a water line of the watercraft. The feed opening is arranged on the hull of the watercraft, preferably on the bow. The watercraft includes a device for letting out water from the aquaculture facility to the body of water. An outlet opening of the outlet device is open in the longitudinal direction of the watercraft and/or is arranged below the water line of the watercraft. The outlet opening preferably being arranged on the hull of the watercraft, on the bow thereof.

A watercraft for breeding aquatic organisms, including an aquaculture facility and a device for feeding water into the aquaculture facility so that water intended to be fed into the aquaculture facility can escape from a body of water in which the watercraft is floating. A feed opening for receiving the water from the body of water is open in the longitudinal direction of the watercraft and/or is arranged below a water line of the watercraft. The feed opening is arranged on the hull of the watercraft, preferably on the bow. The watercraft includes a device for letting out water from the aquaculture facility to the body of water. An outlet opening of the outlet device is open in the longitudinal direction of the watercraft and/or is arranged below the water line of the watercraft. The outlet opening preferably being arranged on the hull of the watercraft, on the bow thereof.

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.

The current invention relates to an artificial intelligence, internet of things (IoT) based water body management system. The water body management system of the invention comprises of an aeration module, a nutrient dispensing module, and a sensor module which monitors and maintains water quality parameters. The artificial intelligence module configured with the sensor module trains the data obtained from the sensors and inputs to the aeration, nutrient dispensing or other modules. The current invention has applications in aquaculture management, management of water bodies like lakes, reservoirs, and ponds.

The current invention relates to an artificial intelligence, internet of things (IoT) based water body management system. The water body management system of the invention comprises of an aeration module, a nutrient dispensing module, and a sensor module which monitors and maintains water quality parameters. The artificial intelligence module configured with the sensor module trains the data obtained from the sensors and inputs to the aeration, nutrient dispensing or other modules. The current invention has applications in aquaculture management, management of water bodies like lakes, reservoirs, and ponds.