The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 14, 2021

Filed:

Aug. 14, 2019
Applicants:

Deere & Company, Moline, IL (US);

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Stephen R. Corban, East Moline, IL (US);

Scott Miller, Ankeny, IA (US);

Herman Herman, Gibsonia, PA (US);

Zachary Pezzementi, Pittsburgh, PA (US);

Trenton Tabor, Pittsburgh, PA (US);

Jonathan Chang, Laurel, MD (US);

Assignees:

DEERE & COMPANY, Moline, IL (US);

CARNEGIE MELLON UNIVERSITY, Pittsburgh, IA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A01D 41/127 (2006.01); G01N 21/85 (2006.01); A01D 41/06 (2006.01); A01D 45/30 (2006.01); A01D 61/02 (2006.01); H04N 5/225 (2006.01); G06T 7/00 (2017.01); H04N 5/232 (2006.01); A01F 12/46 (2006.01); A01D 43/08 (2006.01);
U.S. Cl.
CPC ...
A01D 41/1277 (2013.01); A01D 41/06 (2013.01); A01D 45/30 (2013.01); A01D 61/02 (2013.01); A01F 12/46 (2013.01); G01N 21/85 (2013.01); G06T 7/0002 (2013.01); H04N 5/2252 (2013.01); H04N 5/2253 (2013.01); H04N 5/23229 (2013.01); A01D 43/085 (2013.01); G01N 2021/8592 (2013.01); G06T 2207/30188 (2013.01);
Abstract

A method and system for controlling the quality of harvested grains include capturing, by one or more image sensors, one or more images of material at a sampling location within a grain elevator of the combine harvester. The captured images are defined by a set of image pixels represented by image data and having a classification feature indicative of grain or non-grain material. One or more controllers receive the image data associated with the one or more images captured by the image sensor(s) and select a sample image defined by a subset of image pixels of the set of image pixels. The controller(s) apply a convolutional neural network (CNN) algorithm to the image data of the subset of image pixels of the selected sample image to determine the classification feature. The controller(s) analyze the determined classification feature to adjust an operational parameter of the combine harvester.


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