US 12,439,840 B2
Obtaining and augmenting agricultural data and generating an augmented display
Noel W. Anderson, Fargo, ND (US); Cary S. Hubner, Geneseo, IL (US); Brandon M. McDonald, Johnston, IA (US); Nathan Ogden, Mahomet, IL (US); Brittany Sprabery, Woodinville, WA (US); Sean A. Mahrt, Le Claire, IA (US); Sarah L. Schinckel, Ankeny, IA (US); and Mark D. Moran, Urbana, IL (US)
Assigned to Deere & Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Feb. 10, 2022, as Appl. No. 17/669,030.
Claims priority of provisional application 63/231,870, filed on Aug. 11, 2021.
Prior Publication US 2023/0046844 A1, Feb. 16, 2023
Int. Cl. A01B 79/00 (2006.01); A01B 69/04 (2006.01); A01B 79/02 (2006.01); G06F 3/0488 (2022.01); G06T 7/00 (2017.01); H04W 4/18 (2009.01)
CPC A01B 79/005 (2013.01) [A01B 69/008 (2013.01); A01B 79/02 (2013.01); G06F 3/0488 (2013.01); G06T 7/0014 (2013.01); H04W 4/185 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30188 (2013.01); G06T 2207/30252 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of automatically controlling an agricultural system, comprising:
receiving predictive visual data indicative of an expected visualization of a geographic location on an agricultural worksite;
receiving an actual visual representation of the geographic location;
comparing the expected visualization of the geographic location to the actual visual representation of the geographic location to identify an anomaly;
identifying a severity level of the identified anomaly:
generating a geographically referenced anomaly indicator indicative of the severity level of the identified anomaly;
generating an enhanced display, the enhanced display showing the geographic location enhanced with the geographically referenced anomaly indicator; and
automatically controlling an agricultural machine in the agricultural system based on the geographically referenced anomaly indicator.