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:
Apr. 14, 2025

Filed:

Dec. 18, 2024
Applicant:

King Saud University, Riyadh, SA;

Inventors:
Assignee:

KING SAUD UNIVERSITY, Riyadh, SA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2021.12); A01G 7/00 (2005.12); G06T 7/00 (2016.12); G06V 10/25 (2021.12); G06V 10/774 (2021.12); G06V 10/82 (2021.12); G06V 20/56 (2021.12);
U.S. Cl.
CPC ...
G06V 20/188 (2021.12); A01G 7/00 (2012.12); G06T 7/0012 (2012.12); G06V 10/25 (2021.12); G06V 10/774 (2021.12); G06V 10/82 (2021.12); G06V 20/56 (2021.12); G06T 2207/30188 (2012.12); G06T 2207/30252 (2012.12);
Abstract

A system for detecting diseases among plants includes a mobile device such as a smartphone, table, or personal computer, and a mobile robot which sends photographs of diseased plants to the mobile device including a plant name, disease type and location of the plant. The mobile robot includes a power supply, housing unit, camera, navigation unit, GPS unit, wireless transmitter, and traction unit for mobility of the robot. A geared motor drives the traction unit, and is connected to a low-level controller for motion control. A high-level controller is connected to the camera, navigation unit, GPS unit, and programmed with a convolutional neural network (CNN) configured to process images taken by the camera and associate with each image a plant type, disease type, and location of where the image was taken. The CNN may be a you only look once (YOLO) model trained with images from a dataset.


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