Patent ID: 11941879
Assignee: MINERAL EARTH SCIENCES LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 18:
19. An agricultural vehicle comprising one or more sensors, one or more edge processors, and memory storing instructions that, in response to execution of the instructions by the one or more edge processors, cause the one or more edge processors to:
acquire triage data from one or more of the sensors while the agricultural vehicle travels through an agricultural field, wherein the triage data is acquired at a first level of detail;
locally process the triage data using one or more machine learning models stored on or executed by one or more of the edge processors to detect one or more targeted plant traits exhibited by one or more plants in the agricultural field;
in response to detection of the one or more targeted plant traits, establish a region of interest (ROI) in the agricultural field and download, from one or more of the central servers through the distributed computing network, parameters of a targeted inference machine learning model, wherein the targeted inference machine learning model is selected from a library of machine learning model parameters based on the detected one or more targeted plant traits;
acquire targeted inference data from the same sensor or a different sensor at a second level of detail while the agricultural vehicle travels through the ROI of the agricultural field, wherein the second level of detail is greater than the first level of detail; and
locally processing the targeted inference data using the targeted inference machine learning model to make a targeted inference about plants within the ROI of the agricultural field.