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:
Jan. 24, 2023

Filed:

Jul. 13, 2020
Applicant:

Farmers Edge Inc., Winnipeg, CA;

Inventors:

Changchi Xian, Lethbridge, CA;

Jacob Walker Bengtson, Houston, TX (US);

Assignee:

Farmers Edge Inc., Winnipeg, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06N 3/08 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); G06K 9/6223 (2013.01); G06K 9/6268 (2013.01); G06N 3/088 (2013.01);
Abstract

Methods and systems used for the classification of a crop grown within an agricultural field using remotely-sensed image data. In one example, the method involves unsupervised pixel clustering, which includes gathering pixel values and assigning them to clusters to produce a pixel distribution signal. The pixel distribution signals of the remotely-sensed image data over the growing season are summed up to generate a temporal representation of a management zone. Location information of the management zone is added to the temporal data and ingested into a Recurrent Neural Network (RNN). The output of the model is a prediction of the crop type grown in the management zone over the growing season. Furthermore, a notification can be sent to an agricultural grower or to third parties/stakeholders associated with the grower and/or the field, informing them of the crop classification prediction.


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