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:
Jun. 27, 2023

Filed:

Mar. 08, 2022
Applicant:

Mineral Earth Sciences Llc, Mountain View, CA (US);

Inventors:

Nanzhu Wang, San Jose, CA (US);

Chunfeng Wen, Santa Clara, CA (US);

Yueqi Li, San Jose, CA (US);

Assignee:

MINERAL EARTH SCIENCES LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06Q 30/0201 (2023.01); G06Q 10/04 (2023.01); G06N 20/00 (2019.01); G06F 16/29 (2019.01); A01B 79/00 (2006.01); G06Q 10/0631 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0206 (2013.01); A01B 79/005 (2013.01); G06F 16/29 (2019.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/06315 (2013.01);
Abstract

Implementations are described herein for using machine learning to determine whether candidate crop fields are suitable for management by particular agricultural entities. In various implementations, a machine learning model may be applied to input data to generate output data. The input data may include a first plurality of data points corresponding to field-level agricultural management practices of an agricultural entity. The output data may be indicative of one or more predicted outcomes of the agricultural entity implementing the field-level agricultural management practices on one or more candidate crop fields not currently managed by the agricultural entity. Based on one or more of the predicted outcomes, one or more computing devices may be caused to provide a user associated with the agricultural entity with information about one or more of the candidate crop fields, and/or one or more parameter inputs of a graphical user interface may be prepopulated.


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