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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 12039463 B1

PDFFull Text
Date of Patent:
Jul. 16, 2024

Filed:

Feb. 27, 2023

Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field

Applicant:

Climate Llc, Saint Louis, MO (US);

Inventors:

Jason K. Bull, Wildwood, MO (US);

Tonya S. Ehlmann, Saint Peters, MO (US);

Dongming Jiang, Chesterfield, MO (US);

Brian Lutz, Saint Charles, MO (US);

James C. Moore, III, Creve Coeur, MO (US);

Timothy Reich, Ballwin, MO (US);

Herbert Ssegane, Maryland Heights, MO (US);

Guomei Wang, Chesterfield, MO (US);

Xuefei Wang, Creve Coeur, MO (US);

Liwei Wen, Chesterfield, MO (US);

Xiao Yang, Chesterfield, MO (US);

Assignee:

CLIMATE LLC, Saint Louis, MO (US);

Attorney:

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

Primary Examiner:

Hosuk Song

Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06F 30/20 (2020.01); G06N 20/00 (2019.01); G16B 10/00 (2019.01); G16B 20/00 (2019.01); G16B 40/00 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 30/20 (2020.01); G06N 20/00 (2019.01); G16B 10/00 (2019.02); G16B 20/00 (2019.02); G16B 40/00 (2019.02);
Abstract

An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display of the seed recommendations.

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