MACHINE CONTROL USING REAL-TIME MODEL

A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced...

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Bibliographic Details
Main Authors WALDO MICHAEL A, PALLA BHANU KIRAN REDDY, VANDIKE NATHAN R, ANDERSON NOEL W, PARDINA-MALBRAN FEDERICO
Format Patent
LanguageChinese
English
Published 23.10.2020
Subjects
AGRICULTURE
ANIMAL HUSBANDRY
FISHING
FORESTRY
HARVESTING
HUMAN NECESSITIES
HUNTING
MOWING
TRAPPING
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Summary:A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, anda position of the work machine, to perform the operation. 获得作业现场的先验地理参考植被指数数据，以及由正在作业现场执行操作的作业机械上的传感器采集的田地数据。在所述机械正在执行操作时，基于地理参考植被指数数据和所述田地数据生成预测模型。生成预测模型的模型质量度量，并且使用模型质量度量来确定预测模型是否是合格的预测模型。如果预测模型是合格的预测模型，控制系统使用所述合格的预测模型来控制作业机械的子系统和作业机械的位置以执行操作。
Bibliography:Application Number: CN202010189019