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:
Sep. 19, 2023

Filed:

Jan. 09, 2023
Applicant:

Performance Livestock Analytics, Inc., Ames, IA (US);

Inventors:

Dane T. Kuper, St. Ansgar, IA (US);

Dustin C. Balsley, Osage, IA (US);

Paul Gray, Cedar Falls, IA (US);

William Justin Sexton, Columbia, MO (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06K 7/10 (2006.01); A01K 29/00 (2006.01); A01K 5/02 (2006.01); H04W 4/029 (2018.01); H04W 4/80 (2018.01); A01K 11/00 (2006.01); G06N 7/00 (2023.01); G06N 20/20 (2019.01); G06Q 50/02 (2012.01); G06Q 10/0639 (2023.01); H04W 4/02 (2018.01); H04W 4/70 (2018.01); G06K 17/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); A01K 5/02 (2013.01); A01K 11/008 (2013.01); A01K 29/005 (2013.01); G06K 7/10366 (2013.01); H04W 4/029 (2018.02); H04W 4/80 (2018.02); A01K 5/0283 (2013.01); G06K 17/0029 (2013.01); G06N 7/00 (2013.01); G06N 20/20 (2019.01); G06Q 10/0639 (2013.01); G06Q 50/02 (2013.01); H04W 4/02 (2013.01); H04W 4/70 (2018.02);
Abstract

An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.


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