Method for analyzing individual plants in an agricultural field

A method comprising:

• at a vehicle, during a first operating period:
• navigating within an agricultural field;
• capturing a first set of images of a set of target plants within the agricultural field, the set of target plants comprising a first individual target plant and a second individual target plant;
• capturing a first set of location data of the vehicle;
• executing a first agricultural operation on the first individual target plant, the first agricultural operation characterized by a first magnitude of the first agricultural operation and a first timestamp of the first agricultural operation;
• and
• executing a second agricultural operation on the second individual target plant, the second agricultural operation characterized by a second magnitude of the second agricultural operation and a second timestamp of the second agricultural operation;
• detecting a position of the first individual target plant in the first set of images;
• calculating a location of the first individual target plant based on the position of the first individual target plant in the first set of images and the first set of location data;
• generating a first plant profile of the first individual target plant associating the first individual target plant with a first unique identifier;
• extracting a first initial value of a plant metric characterizing the first individual target plant based on the first set of images;
• populating the first plant profile with:
• the location of the first individual target plant;
• the first initial value of the plant metric;
• the first magnitude of the first agricultural operation;
• and
• the first timestamp of the first agricultural operation;
• detecting a position of the second individual target plant in the first set of images;
• calculating a location of the second individual target plant based on the position of the second individual target plant in the first set of images and the first set of location data;
• generating a second plant profile of the second individual target plant associating the second individual target plant with a second unique identifier;
• extracting a second initial value of the plant metric characterizing the second individual target plant based on the first set of images;
• populating the second plant profile with:
• the location of the second individual target plant;
• the second initial value of the plant metric;
• the second magnitude of the second agricultural operation;
• and
• the second timestamp of the second agricultural operation;
• accessing a set of global condition data associated with the agricultural field and captured during a target time interval between the first operating period and a target time;
• predicting a first predicted value of the plant metric characterizing the first individual target plant at the target time based on:
• the first initial value of the plant metric;
• the first magnitude of the first agricultural operation;
• the first timestamp of the first agricultural operation;
• and
• the set of global condition data;
• populating the first plant profile with the first predicted value of the plant metric in association with the target time;
• predicting a second predicted value of the plant metric characterizing the second individual target plant at the target time based on:
• the second initial value of the plant metric;
• the second magnitude of the second agricultural operation;
• the second timestamp of the second agricultural operation;
• and
• the set of global condition data;
• populating the second plant profile with the second predicted value of the plant metric in association with the target time;
• and
• at the vehicle, during a second operating period at the target time:
• navigating within the agricultural field;
• capturing a second set of images of the set of target plants within the agricultural field;
• capturing a second set of location data of the vehicle;
• accessing the location of the first individual target plant and the first predicted value of the plant metric from the first plant profile;
• identifying the first individual target plant based on the second set of images, the second set of location data, and the location of the first individual target plant;
• executing a third agricultural operation on the first individual target plant based on the first predicted value of the plant metric;
• accessing the location of the second individual target plant and the second predicted value of the plant metric from the second plant profile;
• identifying the second individual target plant based on the second set of images, the second set of location data, and the location of the second individual target plant;
• and
• executing a fourth agricultural operation on the second individual target plant based on the second predicted value of the plant metric, the fourth agricultural operation different from the third agricultural operation.