US 12,225,846 B2
Machine control using a predictive map
Nathan R. Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); and Noel W. Anderson, Fargo, ND (US)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Oct. 8, 2020, as Appl. No. 17/066,444.
Application 17/066,444 is a continuation in part of application No. 16/783,511, filed on Feb. 6, 2020, granted, now 11,641,800.
Application 17/066,444 is a continuation in part of application No. 16/783,475, filed on Feb. 6, 2020, granted, now 11,957,072.
Prior Publication US 2021/0243951 A1, Aug. 12, 2021
Int. Cl. G05D 1/00 (2024.01); A01D 41/127 (2006.01); G06V 20/10 (2022.01); G06F 3/0484 (2022.01)
CPC A01D 41/127 (2013.01) [G05D 1/0274 (2013.01); G06V 20/188 (2022.01); G05D 1/0221 (2013.01); G06F 3/0484 (2013.01)] 22 Claims
OG exemplary drawing
 
1. An agricultural work machine for conducting a current operation at a field, the agricultural work machine comprising:
a controllable subsystem;
a communication system that receives an information map that includes, as values of a first agricultural characteristic, values of a weed characteristic corresponding to different geographic locations in a field;
an in-situ sensor that detects, as the agricultural work machine conducts the current operation at the field, a value of a second agricultural characteristic corresponding to a first geographic location in the field;
one or more processors;
a data store that stores computer executable instructions that, when executed by the one or more processors, configure the one or more processors to:
generate, as the agricultural work machine conducts the current operation at the field, a predictive value of the second agricultural characteristic corresponding to a second geographic location in the field different than the first geographic location in the field, the predictive value of the second agricultural characteristic based on a value of the weed characteristic in the information map corresponding to the first geographic location and based on the value of the second agricultural characteristic detected by the in-situ sensor corresponding to the first geographic location in the field; and
generate, as the agricultural work machine conducts the current operation at the field, a control signal to control the controllable subsystem based on the predictive value of the second agricultural characteristic.