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:
May. 03, 2022

Filed:

Jan. 29, 2021
Applicant:

X Development Llc, Mountain View, CA (US);

Inventors:

Cheng-en Guo, Santa Clara, CA (US);

Jie Yang, Sunnyvale, CA (US);

Elliott Grant, Woodside, CA (US);

Assignee:

X Development LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06N 7/00 (2006.01); G06N 3/08 (2006.01); G06N 20/20 (2019.01); G06T 7/174 (2017.01); G06K 9/62 (2022.01); G06V 10/30 (2022.01); G06V 10/44 (2022.01); G06V 20/13 (2022.01); G06Q 50/02 (2012.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); G06K 9/6274 (2013.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06N 20/20 (2019.01); G06T 7/174 (2017.01); G06V 10/30 (2022.01); G06V 10/454 (2022.01); G06V 20/13 (2022.01); G06Q 50/02 (2013.01); G06T 2207/10032 (2013.01);
Abstract

In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting one or more crop types growing in each of particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining a crop type classification for each of the particular locations based on the predicted one or more crop types for the respective particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indications of the crop type classification determined for the respective particular locations.


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