US 12,423,792 B2
System and method for determining an indicator of processing quality of an agricultural harvested material
Sven Carsten Belau, Gütersloh (DE); Frédéric Fischer, Arnsberg (DE); Christoph Heitmann, Warendorf (DE); and Ingo Bönig, Gütersloh (DE)
Assigned to CLAAS Selbstfahrende Erntemaschinen GmbH, Harsewinkel (DE)
Filed by CLAAS Selbstfahrende Erntemaschinen GmbH, Harsewinkel (DE)
Filed on Jun. 22, 2022, as Appl. No. 17/846,278.
Claims priority of application No. 102021116117.7 (DE), filed on Jun. 22, 2021.
Prior Publication US 2022/0405912 A1, Dec. 22, 2022
Int. Cl. G06V 10/10 (2022.01); A01D 43/08 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/60 (2017.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G06V 20/70 (2022.01)
CPC G06T 7/0004 (2013.01) [A01D 43/081 (2013.01); A01D 43/085 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/60 (2013.01); G06V 10/225 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30128 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining, using a mobile device, an indicator of processing quality of an agricultural harvested material generated by an agricultural harvesting machine, the method comprising:
performing harvesting using the agricultural harvesting machine in order to generate the agricultural harvesting material;
after performing harvesting using the agricultural harvesting machine, removing, by a user, the agricultural harvesting material from a container of the agricultural harvesting machine;
placing, by the user, one or more harvesting material samples from the agricultural harvesting material that is removed from the container onto a defined background, wherein the defined background has a size reference, wherein the one or more harvesting material samples are placed on the defined background without the user separating the one or more harvesting material samples into grain components and non-grain components;
obtaining, using a camera resident on the mobile device, one or more images of the one or more harvesting material samples;
analyzing, by a computing unit of one or both of the mobile device or a device in communication with the mobile device using an analytical routine, image data from the one or more images of the one or more harvesting material samples containing grain components and non-grain components in order to determine the indicator of the processing quality of the agricultural harvested material, wherein the analytical routine includes a trained machine learning model, wherein the analytical routine uses the size reference in the defined background in order to determine size of at least a part of the one or more harvesting material samples, and wherein the analytical routine uses the size and the trained machine learning model to determine the indicator of the processing quality of the agricultural harvested material;
outputting the indicator on a display of the mobile device;
changing, based on the indicator, one or more machine parameters on the agricultural harvesting machine; and
resuming harvesting using the agricultural harvesting machine with the one or more machine parameters that are changed.