US 12,013,245 B2
Predictive map generation and control system
Nathan R Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); Noel W. Anderson, Fargo, ND (US); and Matthew T. Wold, Bettendorf, IA (US)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Oct. 9, 2020, as Appl. No. 17/067,209.
Prior Publication US 2022/0113141 A1, Apr. 14, 2022
Int. Cl. G01C 21/32 (2006.01); A01B 79/00 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); H04W 4/029 (2018.01); A01B 69/00 (2006.01); A01D 41/127 (2006.01); G01C 21/00 (2006.01)
CPC G01C 21/32 (2013.01) [A01B 79/005 (2013.01); G05D 1/0212 (2013.01); H04W 4/029 (2018.02)] 20 Claims
OG exemplary drawing
 
1. An agricultural system comprising:
a geographic position sensor that detects a geographic location of an agricultural work machine in a field;
an in-situ sensor that detects, as the agricultural work machine performs an operation at the field, a value of a second agricultural characteristic corresponding to the 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:
receive a prior information map that includes values of a first agricultural characteristic, from a prior agricultural operation, corresponding to different geographic locations in the field;
generate, as the agricultural work machine performs the operation at the field, a predictive agricultural model that models a relationship between the first agricultural characteristic and the second agricultural characteristic based on a value of the first agricultural characteristic in the prior information map at the geographic location in the field to which the detected value of the second agricultural characteristic corresponds and the detected value of the second agricultural characteristic corresponding to the geographic location in the field;
generate, as the agricultural work machine performs the operation at the field, 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 prior information map and based on the predictive agricultural model; and
generate control signals to control a controllable subsystem on the agricultural work machine, as the agricultural work machine performs the operation at the field, based on the functional predictive agricultural map.