Sensor data processing

A system comprising:

• one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• obtaining sensor data regarding aquatic livestock over periods of time, where the sensor data is captured by at least one sensor while the sensor is positioned at different depths inside an aquatic livestock enclosure;
• determining, for each of the periods of time and each of the different depths that the sensor is positioned, whether the sensor data captured while the sensor is positioned at the different depth during the period of time satisfy one or more evaluation criteria;
• concatenating matrix representations of the periods of time, each of the matrix representations of the periods of time indicating whether the sensor data captured while the sensor is positioned at the each of the different depths during the period of time satisfy the evaluation criteria;
• providing the concatenated matrix representations to a machine-learning trained model;
• receiving, as an output from the machine-learning trained model, an indication of an action to be performed for the aquatic livestock based at least on providing the concatenated matrix representations to the machine-learning trained model;
• and
• adjusting an output rate of a feeder device for the aquatic livestock based at least on the indication.

A computer-readable storage device encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• obtaining sensor data regarding aquatic livestock over periods of time, where the sensor data is captured by at least one sensor while the sensor is positioned at different depths inside an aquatic livestock enclosure;
• determining, for each of the periods of time and each of the different depths that the sensor is positioned, whether the sensor data captured while the sensor is positioned at the different depth during the period of time satisfy one or more evaluation criteria;
• concatenating matrix representations of the periods of time, each of the matrix representations of the periods of time indicating whether the sensor data captured while the sensor is positioned at the each of the different depths during the period of time satisfy the evaluation criteria;
• providing the concatenated matrix representations to a machine-learning trained model;
• receiving, as an output from the machine-learning trained model, an indication of an action to be performed for the aquatic livestock based at least on providing the concatenated matrix representations to the machine-learning trained model;
• and
• adjusting an output rate of a feeder device for the aquatic livestock based at least on the indication.