US 12,229,886 B2
Historical crop state model, predictive crop state map generation and control system
Noel W. Anderson, Fargo, ND (US); Eric M. Heien, Davis, CA (US); and Nathan R. Vandike, Geneseo, IL (US)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Oct. 1, 2021, as Appl. No. 17/491,794.
Prior Publication US 2023/0107444 A1, Apr. 6, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 17/05 (2011.01); A01B 79/00 (2006.01); G05D 1/00 (2024.01); G06T 7/70 (2017.01); G06V 20/10 (2022.01)
CPC G06T 17/05 (2013.01) [A01B 79/005 (2013.01); G05D 1/0212 (2013.01); G06T 7/70 (2017.01); G06V 20/188 (2022.01); G06T 2207/30188 (2013.01); G06T 2215/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An agricultural system comprising
a communication system configured to obtain:
historical crop state data indicative of historical values of crop state;
historical agricultural characteristic data indicative of historical values of an agricultural characteristic; and
seasonal data indicative of geolocated seasonal values of the agricultural characteristic corresponding to a current season; and
a predictive map generator configured to generate a functional predictive crop state map of a field to be harvested by an agricultural work machine that maps predictive crop state values to different geographic locations in the field to be harvested based on the historical values of crop state and the historical values of the agricultural characteristic and based on the seasonal values of the agricultural characteristic at those different geographic locations;
a geographic position sensor configured to detect a geographic location of the agricultural work machine; and
a control system configured to generate a control signal to control a controllable subsystem of the agricultural work machine based on a detected geographic location of the agricultural work machine and based on the functional predictive crop state map.