US 12,272,136 B2
Agricultural systems and methods using image quality metrics for vision-based detection of surface conditions
Christopher Nicholas Warwick, Royston (GB); and Jason Yip Jee Too, Trumpington (GB)
Assigned to CNH Industrial America LLC, New Holland, PA (US)
Filed by CNH Industrial America LLC, New Holland, PA (US)
Filed on Apr. 30, 2021, as Appl. No. 17/245,194.
Prior Publication US 2022/0350989 A1, Nov. 3, 2022
Int. Cl. G06V 20/10 (2022.01); A01B 79/00 (2006.01); G06V 10/75 (2022.01)
CPC G06V 20/188 (2022.01) [A01B 79/005 (2013.01); G06V 10/751 (2022.01)] 21 Claims
OG exemplary drawing
 
1. An agricultural system for monitoring surface conditions for an agricultural field, the system comprising:
an agricultural machine configured to travel across an agricultural field;
one or more imaging devices supported relative to the agricultural machine, the one or more imaging devices being configured to capture images of the agricultural field as the agricultural machine travels across the agricultural field;
a computing system communicatively coupled to the one or more imaging devices, the computing system being configured to:
receive, from the one or more imaging devices, an image of an imaged portion of the agricultural field, the imaged portion of the agricultural field being represented by a plurality of pixels within the image;
determine whether the image comprises a depth image or a two-dimensional image of the imaged portion of the agricultural field;
select at least one image quality metric to be applied for the image based on the determination of whether the image comprises the depth image or the two-dimensional image;
identify at least one pixel-related parameter associated with the plurality of pixels within the image;
determine whether the at least one image quality metric for the image is satisfied based at least in part on the at least one pixel-related parameter; and
estimate a surface condition associated with the agricultural field based at least in part on the image when it is determined that the at least one image quality metric is satisfied.