公开(公告)号：US20230102576A1

公开(公告)日：2023-03-30

申请号：US17485928

申请日：2021-09-27

Applicant: X Development LLC

Inventor： Sergey Yaroshenko ,  Gabriella Levine ,  Elliott Grant ,  Daniel Ribeiro Silva ,  Linda Kanu ,  Francis Ebong

IPC: A01B79/00 ,  A01B63/00 ,  G06K9/00 ,  G06N3/02

Abstract: Implementations are disclosed for adaptively adjusting various parameters of equipment in unpredictable terrain, such as agricultural fields. In various implementations, edge computing device(s) may obtain a first image captured by vision sensor(s) transported across an agricultural field by a vehicle. The first image may depict plant(s) growing in the agricultural area. The edge computing device(s) may process the first image based on a machine learning model to generate agricultural inference(s) about the plant(s) growing in the agricultural area. The edge computing device(s) may determine a quality metric for the agricultural inference(s). While the vehicle continues to travel across the agricultural field, and based on the quality metric: the edge computing device(s) may trigger one or more hardware adjustments to one or more of the vision sensors, or one or more adjustments in an operation of the vehicle.

公开(公告)号：US20230102495A1

公开(公告)日：2023-03-30

申请号：US17485903

申请日：2021-09-27

Applicant: X Development LLC

Inventor： Zhiqiang Yuan ,  Rhishikesh Pethe ,  Francis Ebong

IPC: G06F9/50 ,  G06F11/30 ,  G06F17/18 ,  G01N33/24

Abstract: Implementations are disclosed for adaptively reallocating computing resources of resource-constrained devices between tasks performed in situ by those resource-constrained devices. In various implementations, while the resource-constrained device is transported through an agricultural area, computing resource usage of the resource-constrained device ma may be monitored. Additionally, phenotypic output generated by one or more phenotypic tasks performed onboard the resource-constrained device may be monitored. Based on the monitored computing resource usage and the monitored phenotypic output, a state may be generated and processed based on a policy model to generate a probability distribution over a plurality of candidate reallocation actions. Based on the probability distribution, candidate reallocation action(s) may be selected and performed to reallocate at least some computing resources between a first phenotypic task of the one or more phenotypic tasks and a different task while the resource-constrained device is transported through the agricultural area.