Machine control using a predictive map
AssigneeDeere & Company
InventorsNathan R. Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson
Life of this patent
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Abstract
One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
Claims20
An agricultural system comprising:
- one or more processors;
- and
- memory storing instructions executable by the one or more processors that, when executed by the one or more processors, configure the one or more processors to:
- identify a first value of a weed characteristic at a worksite;
- identify a value of a machine characteristic of an agricultural work machine at the worksite;
- identify a relationship between the weed characteristic and the machine characteristic based on the value of the weed characteristic at the worksite and the value of the machine characteristic of the agricultural work machine at the worksite;
- identify a second value of the weed characteristic at the worksite;
- predict a predictive value of the machine characteristic of the agricultural work machine at the worksite based on the relationship and the second value of the weed characteristic at the worksite;
- and
- control the agricultural work machine based on the predictive value of the machine characteristic of the agricultural work machine at the worksite.
An agricultural work machine comprising:
- a weed sensor configured to detect a weed characteristic at a worksite;
- a machine characteristic sensor configured to detect a machine characteristic of the agricultural work machine at the worksite;
- one or more processors;
- and
- memory storing instructions executable by the one or more processors that, when executed by the one or more processors, configure the one or more processors to:
- identify a first value of the weed characteristic at the worksite;
- identify a value of the machine characteristic of the agricultural work machine at the worksite;
- identify a relationship between the weed characteristic and the machine characteristic based on the value of the weed characteristic at the worksite and the value of the machine characteristic of the agricultural work machine at the worksite;
- identify a second value of the weed characteristic at the worksite;
- predict a predictive value of the machine characteristic of the agricultural work machine at the worksite based on the relationship and the second value of the weed characteristic at the worksite;
- and
- control the agricultural work machine based on the predictive value of the machine characteristic of the agricultural work machine at the worksite.
A computer implemented method comprising:
- identifying a first value of a weed characteristic at a worksite;
- identifying a value of a machine characteristic of an agricultural work machine at the worksite;
- identifying a relationship between the weed characteristic and the machine characteristic based on the value of the weed characteristic at the worksite and the value of the machine characteristic of the agricultural work machine at the worksite;
- identifying a second value of the weed characteristic at the worksite;
- predicting a predictive value of the machine characteristic of the agricultural work machine at the worksite based on the relationship and the second value of the weed characteristic at the worksite;
- and
- controlling the agricultural work machine based on the predictive value of the machine characteristic of the agricultural work machine at the worksite.
Dependencies are inferred from the claim text.