US 12,271,196 B2
Machine control using a predictive map
Nathan R. Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); and Duane M. Bomleny, Geneseo, IL (US)
Assigned to Deere &Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on May 2, 2023, as Appl. No. 18/310,950.
Application 18/310,950 is a continuation of application No. 17/067,129, filed on Oct. 9, 2020, granted, now 11,675,354.
Prior Publication US 2023/0315096 A1, Oct. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G05D 1/00 (2024.01); A01D 41/127 (2006.01); A01D 57/12 (2006.01); G01C 21/00 (2006.01); G01S 19/42 (2010.01); G08C 17/02 (2006.01)
CPC G05D 1/0094 (2013.01) [A01D 41/127 (2013.01); A01D 57/12 (2013.01); G01C 21/3826 (2020.08); G01C 21/3885 (2020.08); G01S 19/42 (2013.01); G05D 1/0212 (2013.01); G08C 17/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural work machine comprising
a communication system that receives an information nap that includes values of a first agricultural characteristic corresponding to different geographic locations in a field;
a geographic position sensor that detects a geographic position of the agricultural work machine;
an in-situ sensor that detects a value of a second agricultural characteristic corresponding to a first geographic location in the field;
a predictive map generator that generates a functional predictive agricultural map of the field that maps a predictive value of the second agricultural characteristic to a second geographic location in the field based on a value of the first agricultural characteristic in the information map corresponding to the first geographic location and based on the detected value of the second agricultural characteristic corresponding to the first geographic location;
a controllable subsystem; and
a control system that generates a control signal to control the controllable subsystem based on the geographic position of the agricultural work machine and based on the predictive value of the second agricultural characteristic in the functional predictive agricultural map.