Computer system for determining a customized animal feed

• US 6,681,717 B2
• Filed: 12/15/2000
• Issued: 01/27/2004
• Est. Priority Date: 12/15/2000
• Status: Expired due to Term

• Current Assignee: Can Technologies, Inc. (Cargill Incorporated)
• Original Assignee: Can Technologies, Inc. (Cargill Incorporated)
• Inventors: Knudson, Brian J., Cook, David A., Burghardi, Steve R., Oedekoven, Mark A., Peterson, Loren
• Primary Examiner(s): Abbott, Yvonne
• Application Number:
  US09/739,550
• Publication Number:
  US 20020120402A1
• Time in Patent Office: 1,138 Days
• Field of Search: 119/51.02, 119/52.4, 119/53, 119/57.92, 702/19, 702/179, 702/181, 702/182, 702/183, 702/184
• US Class Current: 119/51.02
• CPC Class Codes: A01K 5/02 Automatic devices automatic identification devices for stock A01K11/006
• CPC Class Codes: A23K 20/142 Amino acids; Derivatives thereof
• CPC Class Codes: A23K 40/00 Shaping or working-up of animal feeding-stuffs
• CPC Class Codes: A23K 50/10 for ruminants
• CPC Class Codes: A23K 50/30 for swines
• CPC Class Codes: A23K 50/80 for aquatic animals, e.g. fish, crustaceans or molluscs
• CPC Class Codes: Y02A 40/818 Alternative feeds for fish, e.g. in aquacultures

Abstract

A method and system for creating a customized animal feed includes having ingredient data from more than one location, animal data, and evaluation data. The specifications for a customized feed are generated using ingredient data representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal'"'"'s diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized to fulfil the requirements of the evaluation criteria. Evaluation criteria such as (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain, are then utilized together with the feed data and animal data to provide a customized feed which has been generated based upon evaluation data which is representative of one or more of the evaluation criteria.

Claims

1. A system for determining customized feed for at least one animal, the system comprising:

a first memory portion configured to store animal data representative of the characteristics of the animal;

a second memory portion configured to store first feed data representative of the feed ingredients located at a first location;

a third memory portion configured to store second feed data representative of the feed ingredients located at a second location;

a fourth memory portion configured to store evaluation data representative of at least one evaluation criteria; and

a data processing circuit in communication with the memory portions and configured to generate profile data representative of a nutrient profile for the animal based upon the animal data, the data processing circuit being further configured to generate ration data representative of a combination of ingredients from the first and second locations, the ration data being generated by the data processing circuit based upon the profile data, the first and second feed data and the evaluation data.

2. The system of claim 1, wherein the animal data is representative of at least one of a beginning weight of the animal;

a desired weight of the animal;

an environment of the animal;

a feed form;

an actual or desired production level of the animal; and

a relationship of animal muscle to fat of the animal.

3. The system of claim 2, wherein the feed ingredients include at least one of a grain source, a protein source, a vitamin source, a mineral source and a fat source.

4. The system of claim 3, wherein the evaluation criteria include at least one of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

5. The system of claim 1, wherein the evaluation data is representative of at least two evaluation criteria.

6. The system of claim 5, wherein the evaluation criteria include at least two of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

7. The system of claim 6, wherein the animal data is representative of at least one of a beginning weight of the animal;

a desired weight of the animal;

an environment of the animal;

a feed form;

an actual or desired production level of the animal; and

a relationship of animal muscle to fat of the animal.

8. The system of claim 7, wherein the feed ingredients include at least one of a grain source, a protein source, a vitamin source, a mineral source and a fat source.

9. The system of claim 5, further comprising a fifth memory portion in communication with the data processing circuit, the fifth memory portion being configured to store optimization weighting data representative of the effect a respective evaluation criteria has on the generation of the ration data, the data processing circuit further generating the ration data based upon the optimization weighting data.

10. The system of claim 9, wherein the optimization weighting data may be selected to cause one of the evaluation criteria to have no effect on the generation of the ration data.

11. The system of claim 1, wherein the memory portions are portions of a digital memory and a parallel data bus is coupled between the digital memory and the data processing circuit to facilitate communication therebetween.

12. The system of claim 1, wherein the memory portions are portions of a plurality of digital memories and a network couples the digital memories to the data processing circuit to facilitate communication therebetween.

13. The system of claim 1, wherein the ration data further includes data representative of at least one of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

14. The system of claim 13, wherein the nutrient profile data is representative of at least two nutrient components, and the system further includes a sixth memory portion in communication with the digital processor, the sixth memory portion storing variation data representative of a range for the nutrient components of the nutrient profile and the digital processor generates a set of ration data based upon the variation data.

15. The system of claim 14, wherein the nutrient components include at least true digestible lysine and net energy.

16. A system for determining customized feed for at least one animal, the system comprising:

a first memory portion configured to store animal data representative of the characteristics of the animal;

a second memory portion configured to store feed data representative of the feed ingredients located at at least one location;

a third memory portion configured to store evaluation data representative of at least two evaluation criteria; and

a data processing circuit in communication with the memory portions and configured to generate profile data representative of a nutrient profile for the animal based upon the animal data, the data processing circuit being further configured to generate ration data representative of a combination of ingredients from the location, the ration data being generated by the data processing circuit based upon the profile data, the feed data and the evaluation data.

17. The system of claim 16, wherein the animal data is representative of at least one of a beginning weight of the animal;

a desired weight of the animal;

an environment of the animal;

a feed form;

an actual or desired production level of the animal; and

a relationship of animal muscle to fat of the animal; and

the feed ingredients include at least one of a grain source, a protein source, a vitamin source, a mineral source and a fat source.

18. The system of claim 17, wherein the evaluation criteria include at least two of (i) animal production rate, (ii) cost of feed per unit animal weight gain, and (iii) feed weight per unit animal weight gain.

19. The system of claim 16, further comprising a forth memory portion in communication with the data processing circuit, the forth memory portion being configured to store optimization weighting data representative of the effect a respective evaluation criteria has on the generation of the ration data, the data processing circuit further generating the ration data based upon the optimization weighting data.

20. The system of claim 19, wherein the optimization weighting data may be selected to cause one of the evaluation criteria to have no effect on the generation of the ration data.

21. The system of claim 16, wherein the ration data further includes at data representative of at least one of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

22. The system of claim 21, wherein the nutrient profile data is representative of at least two nutrient components, and the system further includes a fifth memory portion in communication with the digital processor, the fifth memory portion storing variation data representative of a range for at least one nutrient component of the nutrient profile and the digital processor generates a set of ration data based upon the variation data.

23. The system of claim 22, wherein the at least one nutrient component includes at least one of digestible lysine and net energy.

24. A system for determining customized feed for at least one animal, the system comprising:

first memory means for storing animal data representative of the characteristics of the animal;

second memory means for storing first feed data representative of the feed ingredients located at a first location;

third memory means for storing second feed data representative of the feed ingredients located at a second location;

fourth memory means for storing evaluation data representative of at least one evaluation criteria; and

processing means for generating profile data representative of a nutrient profile for the animal based upon the animal data, the processing means generating ration data representative of a combination of ingredients from the first and second locations, the ration data being generated by the processing means based upon the profile data, the first and second feed data and the evaluation data.

25. The system of claim 24, wherein the animal data is representative of at least one of a beginning weight of the animal;

a desired weight of the animal;

an environment of the animal;

a feed form;

an actual or desired production level of the animal; and

a relationship of animal muscle to fat of the animal;

the feed ingredients include at least one of a grain source, a protein source, a vitamin source, a mineral source and a fat source; and

the evaluation criteria include at least one of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

26. The system of claim 24, wherein the evaluation criteria include at least two of a rate of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

27. The system of claim 25, wherein the feed ingredients include at least one of a grain source, a protein source, a vitamin source, a mineral source and a fat source.

28. The system of claim 24, wherein the ration data further includes data representative of at least one (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

29. The system of claim 28, wherein the nutrient profile data is representative of at least two nutrient components, and the system further includes fifth memory means for storing variation data representative of a range for at least one nutrient component of the nutrient profile and the processor means generating a set of ration data based upon the variation data.

30. A system for determining customized feed for at least one animal, the system comprising:

first memory means for storing animal data representative of the characteristics of the animal;

second memory means for storing feed data representative of the feed ingredients located at at least one location;

third memory for storing evaluation data representative of at least two evaluation criteria; and

processing means for generating profile data representative of a nutrient profile for the animal based upon the animal data, processing means further generating ration data representative of a combination of ingredients from the location, the ration data being generated by the processing means based upon the profile data, the feed data and the evaluation data.

31. The system of claim 30, wherein the animal data is representative of at least one of a beginning weight of the animal;

a desired weight of the animal;

an environment of the animal;

a feed form;

an actual or desired production level of the animal; and

a relationship of animal muscle to fat of the animal; and

the feed ingredients include at least one a grain source, a protein source, a vitamin source, a mineral source and a fat source.

32. The system of claim 31, wherein the evaluation criteria include at least two of (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

33. The system of claim 31, wherein the ration data further includes diet (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain.

34. The system of claim 31, wherein the nutrient profile data is representative of at least two nutrient components, and the system further includes a fifth memory means for storing variation data representative of a range for at least one nutrient component of the nutrient profile;

and the processing means generates a set of ration data based upon the variation data.

35. The system of claim 30, further comprising forth memory means for storing optimization weighting data representative of the affect a respective evaluation criteria has on the generation of the ration data, the processing means further generating the ration data based upon the optimization weighting data.

36. A method for determining customized feed for at least one animal, the method comprising:

storing animal data representative of the characteristics of the animal;

storing first feed data representative of the feed ingredients located at a first location;

storing second feed data representative of the feed ingredients located at a second location;

storing evaluation data representative of at least one evaluation criteria;

generating profile data representative of a nutrient profile for the animal based upon the animal data; and

generating first ration data representative of a combination of ingredients from the first location, second ration data representative of a combination of ingredients from the second locations, the ration data being generated based upon the profile data, the first and second feed data and the evaluation data.

37. The method of claim 36, wherein the nutrient profile data is representative of at least two nutrient components, the method further comprising the step of generating a set of ration data based upon variation data representative of a range for at least one nutrient component of the nutrient profile.

38. A method for determining customized feed for at least one animal, the method comprising:

storing animal data representative of the characteristics of the animal;

storing feed data representative of the feed ingredients located at at least one location;

storing evaluation data representative of at least two evaluation criteria;

generating profile data representative of a nutrient profile for the animal based upon the animal data; and

generating ration data representative of a combination of ingredients from the location, the ration data being generated based upon the profile data, the feed data and the evaluation data.