Cattle management method and system

• US 7,827,934 B2
• Filed: 10/15/2008
• Issued: 11/09/2010
• Est. Priority Date: 10/31/1994
• Status: Expired due to Fees

• Current Assignee: MWI Veterinary Supply Incorporated
• Original Assignee: Micro Beef Technologies Ltd (MWI Veterinary Supply Incorporated)
• Inventors: Pratt, William C.
• Primary Examiner(s): Price; Thomas
• Application Number:
  US12/251,906
• Publication Number:
  US 20090031960A1
• Time in Patent Office: 755 Days
• Field of Search: 119/51.02, 119/502, 119/511, 119840-842, 452/52, 452/53
• US Class Current: 119/51.02
• CPC Class Codes: A01K 1/0023 Sorting gates
• CPC Class Codes: A01K 1/0209 Feeding pens for pigs or cattle
• CPC Class Codes: A01K 11/006 Automatic identification systems for animals, e.g. electronic devices, transponders for animals identification systems for access to feeding pens A01K1/0209; ear tags with electronic identification means A01K11/004
• CPC Class Codes: A01K 29/00 Other apparatus for animal husbandry
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A01K 5/02 Automatic devices automatic identification devices for stock A01K11/006
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 40/10 Tax strategies
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

An automated method and system for individual animal electronic identification, measurement, and management of cattle in a feedlot. Through the use of a computer system integrated with individual animal identification, multiple measurement and remeasurement systems, and a handling and sorting system, animals are individually identified and measured. The computer system calculates optimum slaughter weight, economic end point and marketing date for shipment to a packing plant. Individual animals are sorted by the computer in response to calculations from the measurements. The computer system stores individual animal measurement, performance and location data, which is used to select animals for shipment to slaughter at the optimum time. At the slaughter facility, the animal'"'"'s identification is used to correlate the live animal physical characteristics and performance data to the carcass characteristics data and build a database to more accurately identify and measure value-based characteristics in subsequent animals for more effective selection and management.

Claims

1. A method for managing animals, comprising:

writing software for managing animals; and

providing the software to a feedlot, wherein a computer system using the software stores information relating to a group of animals, collects characteristic data for individual animals, collects measured data and characteristic data including at least weight measurement characteristic data, determines from at least in part the measured data and characteristic data a projected condition for the individual animals, stores the projected condition for the individual animals and correlates the projected condition with at least the weight measurement characteristic data for the individual animals, determines for the individual animals a projected feed intake, a projected gain and an estimated time required to reach the projected condition, from at least in part the measured data and characteristic data, the projected condition, feed ration information, and if used, growth promotants, stores a predetermined animal quantity for multiple feed pens, determines a number of measured individual animals per feed pen so that the feed pen animal quantity is substantially achieved, determines a sort group, which is one of multiple sort groups, into which the individual animals are sorted based at least in part on the estimated time required to reach the projected condition, and records a feed pen destination.

2. The method of claim 1 where the computer system determines a feed efficiency for the individual animal.

3. The method of claim 1 where the computer system determines a revised estimated time required for the sort group to reach a projected condition.

4. The method of claim 3 where the revised estimated time is based at least in part on actual feed intake, projected gain, production value, production costs, and combinations thereof.

5. The method of claim 3 where the computer system correlates the revised estimated time with an identification of the sort group.

6. The method of claim 1 where the computer system determines an economic value for individual animals.

7. The method of claim 6 where determining economic value includes projecting marketing dates of animals, utilizing projected production costs of animals compared to projected market value of such animals, and using that data to select individual animals or groups of animals for slaughter on a date to substantially maximize economic return of the individual or group.

8. The method of claim 1 where the computer system determines adjusted formulas for improving management of future animals from growth performance data of feed pen animals.

9. The method of claim 1 where the computer system collects and stores animal health history and treatment data, bunkreader and feed truck feed ration assignment and delivery data, computerized feed additive delivery system feed additive data, and animal prior history data in a database to calculate desired animal information.

10. The method of claim 9 where desired animal information includes a production value.

11. A method for managing animals, comprising providing software for a computer system, or a computer system including the software, to a feedlot, wherein the computer system using the software stores information relating to a group of animals, collects characteristic data for individual animals, collects measured data and characteristic data including at least weight measurement characteristic data, determines from at least in part the measured data and characteristic data a projected condition for the individual animals, stores the projected condition for the individual animals and correlates the projected condition with at least the weight measurement characteristic data for the individual animals, determines for the individual animals a projected feed intake, a projected gain and an estimated time required to reach the projected condition, from at least in part the measured data and characteristic data, the projected condition, feed ration information, and if used, growth promotants, stores a predetermined animal quantity for multiple feed pens, determines a number of measured individual animals per feed pen so that the feed pen animal quantity is substantially achieved, determines a sort group, which is one of multiple sort groups, into which the individual animals are sorted based at least in part on the estimated time required to reach the projected condition, and records a feed pen destination.

12. The method of claim 11 where the computer system determines a feed efficiency for the individual animal.

13. The method of claim 11 where the computer system determines a revised estimated time required for the sort group to reach a projected condition.

14. The method of claim 13 where the revised estimated time is based at least in part on actual feed intake, projected gain, production value, production costs, and combinations thereof.

15. The method of claim 13 where the computer system correlates the revised estimated time with an identification of the sort group.

16. The method of claim 11 where the computer system determines an economic value for individual animals.

17. The method of claim 16 where determining economic value includes projecting marketing dates of animals, utilizing projected production costs of animals compared to projected market value of such animals, and using that data to select individual animals or groups of animals for slaughter on a date to substantially maximize economic return of the individual or group.

18. The method of claim 11 where the computer system determines adjusted formulas for improving management of future animals from growth performance data of feed pen animals.

19. The method of claim 11 where the computer system collects and stores animal health history and treatment data, bunkreader and feed truck feed ration assignment and delivery data, computerized feed additive delivery system feed additive data, and animal prior history data in a database to calculate desired animal information.

20. The method of claim 19 where desired animal information includes a production value.