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:
Feb. 08, 2022

Filed:

Mar. 23, 2018
Applicant:

The Government of the United States of America, As Represented BY the Secretary of Homeland Security, Washington, DC (US);

Inventors:

Tammy Beckham, Manhattan, KS (US);

Matthew Coats, Washington, DC (US);

John Korslund, Riverdale, MD (US);

Michelle Colby, Washington, DC (US);

James Wall, College Station, TX (US);

Keith Biggers, College Station, TX (US);

Melissa Berquist, College Station, TX (US);

Austin Riddle, College Station, TX (US);

Paul Bilnoski, College Station, TX (US);

Derek Overby, Covington, LA (US);

Graham Booker, College Station, TX (US);

Lindsey Holmstrom, Manhattan, KS (US);

Assignee:

Other;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/26 (2019.01); A01K 29/00 (2006.01); G06F 16/29 (2019.01); G06Q 50/02 (2012.01); G06Q 10/10 (2012.01); G06F 40/106 (2020.01); A01K 11/00 (2006.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G06F 16/26 (2019.01); A01K 11/008 (2013.01); A01K 29/005 (2013.01); G06F 16/29 (2019.01); G06F 40/106 (2020.01); G06Q 10/10 (2013.01); G06Q 50/02 (2013.01); G06F 3/04847 (2013.01);
Abstract

A system and computerized method for monitoring and analyzing animal related data. In one embodiment, the system includes a processor and memory operable to identify a parameter related to animal management for species in a biological environment, aggregate animal related data from different sources about the parameter of the species, identify a baseline for the parameter, correlate the animal related data against the baseline to obtain correlated data, and analyze said correlated data to assess said animal management.


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