CROP VALUE CHAIN OPTIMIZATION

• US 20070005451A1
• Filed: 06/12/2006
• Published: 01/04/2007
• Est. Priority Date: 06/10/2005
• Status: Abandoned Application

• Current Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.), Pioneer Hi Bred International Inc (Corteva, Inc.)
• Original Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.), Pioneer Hi Bred International Inc (Corteva, Inc.)
• Inventors: HOOVER, SUE, SANDERS, RUSSELL, IWIG, ROBERT, PETERSON, TODD
• Application Number:
  US11/423,523
• Publication Number:
  US 20070005451A1
• Time in Patent Office: Days
• US Class Current: 705/27
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining

Abstract

A method for optimizing a supply chain for grain includes providing an information system adapted to exchange information with at least one input supplier providing seed to the producer, at least one producer providing grain grown from the seed, and at least one processor providing a product produced using the grain. The information system is adapted to provide an output indicative of grain quality and quantity to the at least one processor prior to harvest of the grain to thereby assist the at least one processor in optimizing the supply chain.

Claims

1. A method for optimizing a supply chain for grain, comprising:

providing an information system adapted to exchange information with at least one input supplier providing seed to the producer, at least one producer providing grain grown from the seed, and at least one processor providing a product produced using the grain;

wherein the information system is adapted to provide an output indicative of grain quality to the at least one processor prior to harvest of the grain to thereby assist the at least one processor in optimizing the supply chain.

2. The method of claim 1 wherein the at least one processor includes an ethanol processor.

3. The method of claim 2 wherein the output indicative of grain quality is an ethanol yield potential output.

4. The method of claim 3 wherein the grain is corn.

5. The method of claim 1 wherein the at least one processor includes a livestock producer.

6. The method of claim 5 wherein the output indicative of grain quality is predicted digestible energy levels.

7. The method of claim 6 wherein the grain is corn.

8. The method of claim 1 wherein the output indicative of grain quality is protein content.

9. The method of claim 1 wherein the output indicative of grain quality is oil content.

10. The method of claim 1 wherein the output indicative of grain quality is starch content.

11. The method of claim 1 wherein the output indicative of grain quality is extractable starch content.

12. The method of claim 1 wherein the output indicative of grain quality is enzyme content.

13. The method of claim 1 wherein the output indicative of grain quality is lysine content.

14. The method of claim 1 wherein the grain quality is determined using near infrared analysis.

15. The method of claim 1 wherein the grain quality is predicted based on genetics of the seed used to grow the grain, management practices of the producer, and an environment in which the seed is grown.

16. The method of claim 1 wherein the exchange of information between the at least one input supplier providing seed to the producer and the information system is a two-way exchange.

17. The method of claim 16 further comprising incorporating information received from the exchange of information between the at least one input supplier providing seed to the producer and the information system into a breeding program.

18. The method of claim 1 wherein the grain quality is predicted based on genetics of the seed used to grow the grain and the effect of the genetics on grain processing.

19. The method of claim 18 wherein the grain processing comprises applying an enzymatic process and wherein the genetics of the seed affects the enzymatic process.

20. The method of claim 18 wherein the grain processing is processing for ethanol production.

21. The method of claim 18 wherein the grain processing comprises wet milling.

22. The method of claim 18 wherein the grain processing comprises dry grinding.

23. A method for optimizing a supply chain for grain, comprising:

providing an information system adapted to exchange information with at least one input supplier providing seed to the producer, at least one producer providing grain grown from the seed, and at least one processor providing a product produced using the grain;

wherein the information system is adapted to provide an output indicative of grain quality to the at least one processor prior to harvest of the grain to thereby assist the at least one processor in optimizing the supply chain.

24. The method of claim 23 wherein the at least one input supplier includes a seed supplier.

25. The method of claim 23 wherein the output indicative of grain quality being at least partially based on crop scouting reports.

26. The method of claim 23 wherein the output indicative of grain quality being at least partially based on interaction between the genetics of the grain and processing techniques.

27. The method of claim 26 wherein the processing techniques include use of one or more enzymes.

28. A method for acquiring grain, comprising:

determining expected grain quality from a plurality of sources at a time prior to harvest of the grain, the expected grain quality based on genetics of the grain, the environment associated with the grain, and genetics-by-environment interactions;

determining an expected time of harvest for the grain;

identifying sources of grain to acquire to meet processing needs based on expected grain quality, expected time of harvest, and processing needs.

29. The method of claim 28 wherein the step of identifying sources of grain to acquire to meet processing needs being further based on interactions between processing steps and grain of varying genetics.

30. The method of claim 29 wherein the processing steps include use of enzymes.

31. A method for optimizing a supply chain for grain, comprising:

determining expected grain quality from a plurality of sources at a time prior to harvest of the grain, the expected grain quality at least partially based on genetics of the grain, the environment associated with the grain, genetics-by-environment interactions, and effect of the genetics of the grain on processing steps;

identifying sources of grain to acquire to meet processing needs at least partially based on the expected grain quality.

32. The method of claim 31 further comprising determining an expected time of harvest of the grain prior to harvest.

33. The method of claim 32 wherein the step of identifying sources of grain is at least partially based on the expected time of harvest of the grain.

34. The method of claim 31 further comprising determining an expected time of delivery of the grain prior to harvest.

35. The method of claim 34 wherein the step of identifying sources of grain is at least partially based on the expected time of delivery of the grain.

36. The method of claim 34 wherein the processing steps include at least one step using an enzyme.

37. The method of claim 34 wherein the expected grain quality at least partially based on genetics-by-environment-by-management interactions.