公开(公告)号：US11510404B2

公开(公告)日：2022-11-29

申请号：US16420169

申请日：2019-05-23

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden ,  Erik Ehn ,  James Michael Fleming

IPC: G06F7/70 ,  A01M7/00 ,  G05B13/02 ,  G05B13/04 ,  G05B17/02 ,  G05B19/05 ,  G06G7/00

Abstract: A boom sprayer includes any number of components to treat plants as the boom sprayer travels through a plant field. The components take actions to treat plants or facilitate treating plants. The boom sprayer includes any number of sensors to measure the state of the boom sprayer as the boom sprayer treats plants. The boom sprayer includes a control system to generate actions for the components to treat plants in the field. The control system includes an agent executing a model that functions to improve the performance of the boom sprayer treating plants. Performance improvement can be measured by the sensors of the boom sprayer. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.

公开(公告)号：US20180271015A1

公开(公告)日：2018-09-27

申请号：US15927980

申请日：2018-03-21

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden ,  Wentao Yu ,  Erik Ehn ,  James Michael Fleming

IPC: A01D41/127 ,  G05B13/02

CPC classification number: A01D41/127 ,  A01D45/02 ,  A01D45/04 ,  A01D45/30 ,  G05B13/027 ,  G06N3/006 ,  G06N3/0454 ,  G06N3/08 ,  G06N7/005

Abstract: A combine harvester (combine) includes any number of components to harvest plants as the combine travels through a plant field. The components take actions to harvest plants or facilitate harvesting plants. The combine includes any number of sensors to measure the state of the combine as the combine harvests plants. The combine includes a control system to generate actions for the components to harvest plants in the field. The control system includes an agent executing a model that functions to improve the performance of the combine harvesting plants. Performance improvement can be measured by the sensors of the combine. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.