US 11,675,354 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 Oct. 9, 2020, as Appl. No. 17/67,129.
Prior Publication US 2022/0113726 A1, Apr. 14, 2022
Int. Cl. G05D 1/00 (2006.01); G08C 17/02 (2006.01); G01S 19/42 (2010.01); G01C 21/00 (2006.01); G05D 1/02 (2020.01); A01D 41/127 (2006.01); A01D 57/12 (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); G05D 2201/0201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural work machine comprising
a communication system that receives an information map that includes values of a first agricultural 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 second agricultural characteristic corresponding to the geographic location;
a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive values of the second agricultural characteristic to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the value of the second agricultural characteristic;
a reel; and
a control system that generates a control signal to control the reel based on the geographic position of the agricultural work machine and based on the predictive values of the second agricultural characteristic in the functional predictive agricultural map.