Individual plant recognition and localization

One or more non-transitory machine readable storage media comprising instructions to cause one or more processors to at least:

• obtain a first image that captures a depiction of an individual plant within a plurality of plants;
• execute a trained machine learning model using the first image as an input, wherein the execution of the trained machine learning model generates an identifier of the individual plant;
• and
• cause a display to present a change to the individual plant over time, wherein the instructions cause the one or more processors to determine visuals to present on the display based on the identifier of the individual plant and one or more previously-captured images that include the individual plant.

A method comprising:

• obtaining, with a client device, a first image that captures a depiction of an individual plant within a plurality of plants;
• executing, with the client device, a trained machine learning model using the first image as an input, wherein the execution of the trained machine learning model generates an identifier of the individual plant;
• causing, with the client device, a display to present a change to the individual plant over time;
• and
• determining visuals to present on the display based on a) the first image, b) the identifier of the individual plant, and c) one or more previously-acquired images that include the individual plant.