IDENTIFYING THERMOCLINES IN AN AQUACULTURE ENVIRONMENT

1 . A computer-implemented method comprising:

obtaining a plurality of images from at least one imaging device in an aquaculture environment, each image in the plurality of images representing livestock in the aquaculture environment;

determining, from at least the plurality of images, a statistical distribution of the livestock in the aquaculture environment;

determining, from the statistical distribution of the livestock, a location of a thermocline in the aquaculture environment; and

providing, to an aquaculture management device in the aquaculture environment, a signal indicative of the location of the thermocline.

2 . The computer-implemented method of claim 1 , further comprising:

determining, based on the location of the thermocline, that the thermocline is a diurnal thermocline; and

based on determining that the thermocline is a diurnal thermocline, modifying operation of the aquaculture management device.

3 . The computer-implemented method of claim 2 , wherein the aquaculture management device is a feeder and modifying operation of the feeder comprises:

adjusting, according to the signal indicative of the location of the thermocline, at least one of (i) an amount of feed to disperse, or (ii) a location in the aquaculture environment to disperse the feed.

4 . The computer-implemented method of claim 2 , wherein the aquaculture management device is a parasite remediation system, wherein operations of the parasite remediation system are adjusted based on to the signal indicative of the location of the thermocline.

5 . The computer-implemented method of claim 2 , wherein the aquaculture management device is a camera device and modifying operation of the camera device comprises:

adjusting, based on to the signal indicative of the location of the thermocline, at least one of (i) a position, or (ii) a capture rate, of the camera device.

6 . The computer-implemented method of claim 1 , further comprising:

obtaining, from at least one sensor in the aquaculture environment, one or more sensor readings comprising at least one measurement of the aquaculture environment.

7 . The computer-implemented method of claim 6 , wherein the location of a thermocline is determined, at least in part, using the one or more sensor readings.

8 . The computer-implemented method of claim 7 , further comprising:

determining, from at least one sensor reading among the one or more sensor readings, at least one environment descriptor for the aquaculture environment; and

estimating the location of a thermocline according to the at least one environmental descriptor;

wherein the at least one environmental descriptor indicates a predicted measure of the aquaculture environment.

9 . The computer-implemented method of claim 1 , wherein the location of a thermocline is determined by a machine learning model.

10 . The computer-implemented method of claim 1 , wherein the location of a thermocline is determined by a model configured to perform one or more statistical techniques.

11 . The computer-implemented method of claim 1 , wherein the statistical distribution comprises one or more measurements of estimated number of livestock in the aquaculture pen, each measurement representing a number of livestock in the aquaculture environment at a corresponding depth of the aquaculture environment.

12 . The computer-implemented method of claim 1 , wherein the statistical distribution comprises one or more measurements of estimated biomass in the aquaculture pen, each measurement representing biomass of the aquaculture environment at a corresponding depth of the aquaculture environment.

13 . A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising:

obtaining a plurality of images from at least one imaging device in an aquaculture environment, each image in the plurality of images representing livestock in the aquaculture environment;

determining, from at least the plurality of images, a statistical distribution of the livestock in the aquaculture environment;

determining, from the statistical distribution of the livestock, a location of a thermocline in the aquaculture environment; and

providing, to an aquaculture management device in the aquaculture environment, a signal indicative of the location of the thermocline.

14 . The system of claim 13 , the operation further comprising:

determining, based on the location of the thermocline, that the thermocline is a diurnal thermocline; and

based on determining that the thermocline is a diurnal thermocline, modifying operation of the aquaculture management device.

15 . The system of claim 13 , wherein the aquaculture management device is a feeder and modifying operation of the feeder comprises:

adjusting, according to the signal indicative of the location of the thermocline, at least one of (i) an amount of feed to disperse, or (ii) a location in the aquaculture environment to disperse the feed.

16 . The system of claim 13 , wherein the aquaculture management device is a parasite remediation system, wherein operations of the parasite remediation system are adjusted based on the signal indicative of the location of the thermocline.

17 . The system of claim 13 , wherein the aquaculture management device is a camera device and modifying operation of the camera device comprises:

adjusting, based on the signal indicative of the location of the thermocline, at least one of (i) a position, or (ii) a capture rate, of the camera device.

18 . The system of claim 13 , the operations further comprising:

obtaining, from at least one sensor in the aquaculture environment, one or more sensor readings comprising at least one measurement of the aquaculture environment; and

determining, based on the one or more sensor readings, the location of a diurnal thermocline;

determining, from at least one sensor reading among the one or more sensor readings, at least one environment descriptor for the aquaculture environment; and

estimating the location of a thermocline according to the at least one environmental description;

wherein the at least one environmental descriptor indicates a predicted measure of the aquaculture environment.

19 . The system of claim 13 , wherein the location of a thermocline is determined by at least one of (i) a machine learning model, or (ii) a model configured to perform one or more statistical techniques.

20 . One or more non-transitory computer-readable storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

obtaining a plurality of images from at least one imaging device in an aquaculture environment, each image in the plurality of images representing livestock in the aquaculture environment;

determining, from at least the plurality of images, a statistical distribution of the livestock in the aquaculture environment;

determining, from the statistical distribution of the livestock, a location of a thermocline in the aquaculture environment; and

providing, to an aquaculture management device in the aquaculture environment, a signal indicative of the location of the thermocline.