US 12,329,148 B2
Predictive weed map and material application machine control
Nathan R. Vandike, Geneseo, IL (US); Bhanu Kiran Reddy Palla, Bettendorf, IA (US); Federico Pardina-Malbran, Fort Collins, CO (US); David A. Hanson, Urbandale, IA (US); Andrea M. Agarwal, Ankeny, 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 Apr. 8, 2022, as Appl. No. 17/716,350.
Application 17/716,350 is a continuation in part of application No. 17/067,383, filed on Oct. 9, 2020, granted, now 12,035,648.
Application 17/716,350 is a continuation in part of application No. 17/066,444, filed on Oct. 8, 2020, granted, now 12,225,846.
Application 17/067,383 is a continuation in part of application No. 16/783,511, filed on Feb. 6, 2020, granted, now 11,641,800.
Application 17/067,383 is a continuation in part of application No. 16/783,511, filed on Feb. 6, 2020, granted, now 11,641,800.
Application 17/067,383 is a continuation in part of application No. 16/783,475, filed on Feb. 6, 2020, granted, now 11,957,072.
Application 17/066,444 is a continuation in part of application No. 16/783,475, filed on Feb. 6, 2020, granted, now 11,957,072.
Prior Publication US 2022/0232816 A1, Jul. 28, 2022
Int. Cl. A01M 7/00 (2006.01); A01M 9/00 (2006.01); A01C 7/04 (2006.01)
CPC A01M 7/0089 (2013.01) [A01M 9/0092 (2013.01); A01C 7/0443 (2023.05); A01C 7/0445 (2023.05); A01C 7/046 (2013.01)] 16 Claims
OG exemplary drawing
 
1. An agricultural material application system comprising:
a geographic position sensor configured to detect a geographic location of a mobile material application machine at a field and generates a sensor signal indicating the geographic location;
an in-situ sensor configured to detect a weed value corresponding to the geographic location; and
a control system configured to:
receive a vegetative index map that maps vegetative index values corresponding to different geographic locations in the field;
generate a predictive weed model indicative of a relationship between the vegetative index values and weed values based on the weed value detected by the in-situ sensor corresponding to the geographic location and a vegetative index value in the vegetative index map corresponding to the geographic location, the predictive weed model being configured to receive a vegetative index value as a model input and generate a predictive weed value as a model output;
generate a functional predictive weed map of the field that maps predictive weed values to the different geographic locations in the field based on the vegetative index values in the vegetative index map and based on the predictive weed model; and
control an actuator of the mobile material application machine at the field based on the sensor signal indicating the geographic location and the functional predictive weed map.