US 12,010,947 B2
Predictive machine characteristic map generation and control system
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 Jan. 23, 2023, as Appl. No. 18/158,005.
Application 18/158,005 is a continuation of application No. 17/066,442, filed on Oct. 8, 2020, granted, now 11,589,509.
Application 17/066,442 is a continuation in part of application No. 16/783,511, filed on Feb. 6, 2020, granted, now 11,641,800.
Application 17/066,442 is a continuation in part of application No. 16/783,475, filed on Feb. 6, 2020.
Application 16/783,511 is a continuation in part of application No. 16/380,531, filed on Apr. 10, 2019.
Application 16/380,531 is a continuation in part of application No. 16/171,978, filed on Oct. 26, 2018, granted, now 11,240,961.
Prior Publication US 2023/0148474 A1, May 18, 2023
Int. Cl. A01D 41/127 (2006.01); A01D 69/00 (2006.01); G01C 21/00 (2006.01); G01S 17/89 (2020.01); G06N 20/00 (2019.01)
CPC A01D 41/127 (2013.01) [A01D 69/00 (2013.01); G01C 21/3826 (2020.08); G01C 21/3837 (2020.08); G01S 17/89 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural work machine comprising:
a communication system that receives a topographic map that maps topographic values of a topographic characteristic to different geographic locations in the field;
a geographic position sensor that detects a geographic location of the agricultural work machine;
an in-situ sensor that detects a value of an agricultural characteristic corresponding to the geographic location;
a predictive model generator that generates a predictive agricultural model that models a relationship between the topographic characteristic and the agricultural characteristic based on the topographic value of the topographic characteristic in the topographic map corresponding to the geographic location and the value of the agricultural characteristic detected by the in-situ sensor corresponding to the geographic location; and
a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive values of the agricultural characteristic to the different geographic locations in the field based on the topographic values in the topographic map and based on the predictive agricultural model.