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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.

Patent No.:

US 12159457 B1

PDFFull Text
Date of Patent:
Dec. 03, 2024

Filed:

Jun. 26, 2023

Inferring moisture from color

Applicant:

Deere & Company, Moline, IL (US);

Inventors:

Bodi Yuan, Sunnyvale, CA (US);

Zhiqiang Yuan, San Jose, CA (US);

Ming Zheng, Redwood City, CA (US);

Assignee:

DEERE & COMPANY, Moline, IL (US);

Attorney:

Hanley, Flight & Zimmerman, LLC

Primary Examiner:

Vu Le

Assistant Examiner:

Tracy Mangialaschi

Int. Cl.
CPC ...
G06V 20/10 (2022.01); A01C 1/02 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); A01D 75/00 (2006.01); A01G 25/16 (2006.01); A01M 21/00 (2006.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); A01C 1/025 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 7/97 (2017.01); A01D 75/00 (2013.01); A01G 25/16 (2013.01); A01M 21/00 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30188 (2013.01); G06T 2207/30242 (2013.01);
Abstract

Techniques are described herein for using artificial intelligence to predict crop yields based on observational crop data. A method includes: obtaining a first digital image of at least one plant; segmenting the first digital image of the at least one plant to identify at least one seedpod in the first digital image; for each of the at least one seedpod in the first digital image: determining a color of the seedpod; determining a number of seeds in the seedpod; inferring, using one or more machine learning models, a moisture content of the seedpod based on the color of the seedpod; and estimating, based on the moisture content of the seedpod and the number of seeds in the seedpod, a weight of the seedpod; and predicting a crop yield based on the moisture content and the weight of each of the at least one seedpod.

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