Method and system for collecting, managing and reporting feedlot cattle data and feed additive consumption data

• US 20050177390A1
• Filed: 01/28/2005
• Published: 08/11/2005
• Est. Priority Date: 01/28/2004
• Status: Abandoned Application

• Current Assignee: Ivy Animal Health, Inc. (Elanco Animal Health, Inc.)
• Original Assignee: Ivy Animal Health, Inc. (Elanco Animal Health, Inc.)
• Inventors: Sarzen, Marcel, Young, Joseph
• Application Number:
  US11/046,318
• Publication Number:
  US 20050177390A1
• Time in Patent Office: Days
• US Class Current: 340/573.300
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 90/00 Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing

Abstract

A method and system for collecting, managing and reporting feedlot cattle data and feed additive consumption data is provided. In particular, the present invention is directed to a method and system for collecting data including demographic data, animal health data, feedlot performance data, feed data, and carcass data from standard accounting systems, validating the data, normalizing the data using mapping and matching protocols, and reporting the data.

Claims

1. A method for managing livestock data comprising the steps of:

collecting raw livestock data from a plurality of livestock data acquisition locations;

determining through an iterative process the validity of said raw livestock data;

normalizing the validated data using a conversion factor based upon the type and unit of measurement for the data; and

presenting the normalized data in a report format.

2. The method of claim 1 further comprising the step of transmitting livestock data from a plurality of livestock data acquisition locations.

3. The method of claim 2 further comprising the step of converting said raw livestock data into a standardized format prior to transmitting said raw data.

4. The method of claim 1 further comprising the step of receiving said raw livestock data in a central repository.

5. The method of claim 4 further comprising the step of validating said raw livestock data using standard deviation parameters and at least one rules engine configured to provide standard minimums and maximums particular to the type of raw data transmitted.

6. The method of claim 5 further comprising the step of transmitting un-validated raw livestock data back to said livestock data acquisition locations.

7. The method of claim 1 further comprising the step of mapping said validated data.

8. The method of claim 7 further comprising the step of converting said validated data into standardized units of measure and inserting the converted data into at least one data collection tool.

9. The method of claim 7 further comprising the step of converting product label data contained in said validated data into a standard format and inserting said label data into at least one data collection tool.

10. The method of claim 1 further comprising the step of matching said validated data using a matching algorithm configured to link data identifying a particular animal, pen or lot.

11. The method of claim 1 further comprising the step of matching said validated data using a matching algorithm configured to link data identifying feed rations and feed ingredients consumed by a particular animal, pen or lot.

12. The method of claim 1 further comprising the step of matching said validated data using a matching algorithm configured to link data identifying pre- and post-slaughter characteristics of a particular animal, pen or lot.

13. The method of claim 1, said livestock data being selected from the group consisting of demographic data, animal health data, feedlot performance data, feed data, carcass data, and user account data.

14. A system for managing livestock data comprising:

means for accessing and collecting livestock data from legacy software applications;

means for transmitting said data to a livestock data management system;

means for validating said data;

means for normalizing said data; and

means for reporting said data.

15. The system of claim 14 further comprising means for converting said raw livestock data into a standardized format prior to transmitting said raw data.

16. The system of claim 14 further comprising means for receiving said raw livestock data in a central repository.

17. The system of claim 16 further comprising means for validating said raw livestock data using standard deviation parameters and at least one rules engine configured to provide standard minimums and maximums particular to the type of raw data transmitted.

18. The system of claim 17 further comprising the step of transmitting un-validated raw livestock data back to said livestock data acquisition locations.

19. The system of claim 14 further comprising means for mapping said validated data.

20. The system of claim 19 further comprising means for converting said validated data into standardized units of measure and inserting the converted data into at least one data collection tool.

21. The system of claim 19 further comprising means for converting product label data contained in said validated data into a standard format and inserting said label data into at least one data collection tool.

22. The system of claim 14 further comprising means for matching said validated data using a matching algorithm configured to link data identifying a particular animal, pen or lot.

23. The system of claim 14 further comprising means for matching said validated data using a matching algorithm configured to link data identifying feed rations and feed ingredients consumed by a particular animal, pen or lot.

24. The system of claim 14 further comprising means for matching said validated data using a matching algorithm configured to link data identifying pre- and post-slaughter characteristics of a particular animal, pen or lot.

25. The system of claim 14, said livestock data being selected from the group consisting of demographic data, animal health data, feedlot performance data, feed data, carcass data, and user account data.