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 11856881 B1

Date of Patent:

Jan. 02, 2024

Filed:

Mar. 27, 2023

Detection of plant diseases with multi-stage, multi-scale deep learning

Applicant:

Climate Llc, Saint Louis, MO (US);

Inventors:

Wei Guan, Pleasanton, CA (US);

Yichuan Gui, Pacifica, CA (US);

Assignee:

CLIMATE LLC, Saint Louis, MO (US);

Attorney:

Harness, Dickey & Pierce, P.L.C.

Primary Examiner:

Sean T Motsinger

Int. Cl.

CPC ...

G06V 20/68 (2022.01); A01B 79/00 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 3/40 (2006.01); G06V 10/82 (2022.01); G06V 10/774 (2022.01); G06V 20/10 (2022.01); G06F 18/243 (2023.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 20/60 (2022.01); A01G 7/00 (2006.01);

U.S. Cl.

CPC ...

A01B 79/005 (2013.01); G06F 18/214 (2023.01); G06F 18/24317 (2023.01); G06F 18/254 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06T 7/0012 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/188 (2022.01); G06V 20/60 (2022.01); G06V 20/68 (2022.01); A01G 7/00 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);

Abstract

A computer system is provided comprising a classification model management server computer configured, by instructions, to: receive a new image from a user device; apply a first digital model to first regions within the new image for classifying each of the first regions into a particular class; apply a second digital model to second regions within the new image for classifying each of the second regions into a particular class; and transmit classification data related to the class of the first regions and the class of the second regions to the user device. In connection therewith, the second regions each generally correspond to a combination of multiple first regions.

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