US 11,874,669 B2
Map generation and control system
Nathan R Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); Bradley K. Yanke, Eldridge, IA (US); Noel W. Anderson, Fargo, ND (US); Mehul Bhavsar, Pune (IN); and Hrishikesh Tupe, Pune (IN)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Oct. 9, 2020, as Appl. No. 17/066,521.
Prior Publication US 2022/0110252 A1, Apr. 14, 2022
Int. Cl. G05D 1/02 (2020.01); A01D 41/127 (2006.01); G06Q 50/02 (2012.01); A01B 79/00 (2006.01); B60W 10/30 (2006.01); B60W 50/00 (2006.01); E02F 9/20 (2006.01); B60K 35/00 (2006.01); B60W 50/04 (2006.01); G06Q 10/063 (2023.01)
CPC G05D 1/0274 (2013.01) [A01B 79/005 (2013.01); A01D 41/1273 (2013.01); B60W 10/30 (2013.01); B60W 50/0097 (2013.01); G05D 1/0246 (2013.01); G05D 1/0278 (2013.01); G06Q 50/02 (2013.01); B60K 35/00 (2013.01); B60W 2050/0026 (2013.01); B60W 2050/046 (2013.01); E02F 9/2045 (2013.01); G05D 1/0212 (2013.01); G05D 2201/0201 (2013.01); G06Q 10/063 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural system 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 an agricultural work machine;
an in-situ sensor that detects a value of a second agricultural characteristic indicative of a characteristic of processed material corresponding to the geographic location;
a predictive model generator that generates 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 information map at the geographic location and a value of the second agricultural characteristic sensed by the in-situ sensor at the geographic location; and
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 predictive agricultural model.