US 12,013,698 B2
Machine control using a predictive map
Nathan R. Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); and Corwin M. Puryk, Bettendorf, IA (US)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Jan. 23, 2023, as Appl. No. 18/158,003.
Application 18/158,003 is a continuation of application No. 17/066,825, filed on Oct. 9, 2020, granted, now 11,592,822.
Prior Publication US 2023/0161347 A1, May 25, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G05D 1/00 (2006.01); A01D 41/127 (2006.01); A01D 61/02 (2006.01); B60K 35/00 (2006.01); B60K 35/10 (2024.01); B60K 35/22 (2024.01); G01C 21/00 (2006.01)
CPC G05D 1/0094 (2013.01) [A01D 41/127 (2013.01); A01D 61/02 (2013.01); B60K 35/00 (2013.01); G01C 21/3841 (2020.08); G01C 21/3848 (2020.08); B60K 35/10 (2024.01); B60K 35/22 (2024.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural work machine comprising:
a communication system that receives an information map that includes values of a topographic characteristic corresponding to different geographic locations in a field;
a geographic position sensor that detects a geographic location of the agricultural work machine;
an in-situ sensor that detects a value of a first agricultural characteristic corresponding to a geographic location;
a controllable subsystem;
one or more processors; and
a data store that stores a set of computer executable instructions that when executed by the one or more processors cause the one or more processors to:
generate a functional predictive agricultural map of the field that maps predictive values of a second agricultural characteristic to the different geographic locations in the field based on the values of the topographic characteristic in the information map and based on the value of the first agricultural characteristic; and
generate a control signal to control the controllable subsystem based on the geographic location of the agricultural work machine and based on the predictive values of the second agricultural characteristic in the functional predictive agricultural map.