An automatic observing net is provided, and applied in croppers, creatures and cultivation via a feeding and observing equipment, and characterized in comprising a monitoring and identifying system; a feeding equipment control system, connected to the monitoring and identifying system, and including a monitoring data process center, a feeding operation platform, a feeding control center; and a feeding equipment execution system, connected to the feeding equipment control system. A utilizing method of an automatic observing net is provided, and characterized in: the automatic observing net being provided to allow a plurality of feeding and observing equipment to be corresponding to a plurality of cultivating farms for monitoring the cultivation at the same time so to as connect and communicate the data, wherein with a common platform interface, a remote control operation being achieved, the operator only requires to go to the farm when the platform interface sends a requirement.

An array system of passive solar aquaponic and mushroom production structures, each having a glazing on a sun facing side to maximize winter sunlight; a plant growing area; a mushroom growing area; a water wall thermal mass integrated and disposed between the plant and mushroom growing areas; a fish tank; a saltwater basin under the plant growing holding saltwater; a natural air ventilation system providing misted air to the mushroom growing area and receiving O2 from the plant growing provided to the mushroom growing area, and CO2 generated by the mushroom growing area provided to the plant growing area; and saltwater channels delivering saltwater to the saltwater basins from a saltwater source, and which is evaporated by solar heat generated by the plant growing areas in order to generate freshwater.

An array system of passive solar aquaponic and mushroom production structures, each having a glazing on a sun facing side to maximize winter sunlight; a plant growing area; a mushroom growing area; a water wall thermal mass integrated and disposed between the plant and mushroom growing areas; a fish tank; a saltwater basin under the plant growing holding saltwater; a natural air ventilation system providing misted air to the mushroom growing area and receiving O2 from the plant growing provided to the mushroom growing area, and CO2 generated by the mushroom growing area provided to the plant growing area; and saltwater channels delivering saltwater to the saltwater basins from a saltwater source, and which is evaporated by solar heat generated by the plant growing areas in order to generate freshwater.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that automate selection of configuration data. One of the methods includes obtaining meal configuration data relating to feeding livestock in an aquaculture environment that includes one or more feeding parameters relating to feeding farmed livestock and one or more criteria. Each of the one or more criteria can be associated with the one or more feeding parameters. Sensor data can be obtained that describes at least one property of the aquaculture environment. A selected set of feeding parameters can be selected using the obtained sensor data and the obtained feeding parameters. The selected set of feeding parameters can be provided to a feeding control subsystem.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that automate selection of configuration data. One of the methods includes obtaining meal configuration data relating to feeding livestock in an aquaculture environment that includes one or more feeding parameters relating to feeding farmed livestock and one or more criteria. Each of the one or more criteria can be associated with the one or more feeding parameters. Sensor data can be obtained that describes at least one property of the aquaculture environment. A selected set of feeding parameters can be selected using the obtained sensor data and the obtained feeding parameters. The selected set of feeding parameters can be provided to a feeding control subsystem.

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.

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.

A method for shrimp aquaculture, in which, all growth phases and essential operations are modularized and integrated to form a multi-phasic synchronous super-intensive shrimp production system controlled by a custom designed cyber-physical platform. Modular components include, for example, post-larvae nursery modules, grow-out production modules, recirculating aquaculture system (RAS) modules, feed distribution modules, and regulatory elements comprised of Program Logic Controllers (PLCs) integrated with Human Interface Modules (HIMs).

A feeding apparatus includes an inner compartment having a first opening; and an outer compartment having a second opening. At least one of the inner compartment and the outer compartment is configured to be movable relative to the other one of the inner compartment and the outer compartment from a first position in which the first opening is out of alignment with the second opening to a second position in which the first opening is aligned with the second opening.