Systems and methods for use in characterizing agricultural products

Patent metadata

Field	Value
Publication number	US-9842252-B2
Application number	US-78885310-A
Country	US
Kind code	B2
Filing date	May 27, 2010
Priority date	May 29, 2009
Publication date	Dec 12, 2017
Grant date	Dec 12, 2017

Abstract

A method is provided for use in optimizing ethanol yield from agricultural products. The method includes imaging agricultural products to determine predicted ethanol yields for the agricultural products and assigning characterizations to the imaged agricultural products based on their predicted ethanol yields. An apparatus is provided for collecting, retaining, and/or transporting bulk quantities of agricultural products. The apparatus includes an analyzer configured to image the agricultural products for use in determining the predicted ethanol yields. And, a system is provided for tracking and/or monitoring agricultural products. The system includes an analyzer configured to image the agricultural products for use in determining the predicted ethanol yields, a central processor configured to communicate with the analyzer to thereby link the imaged agricultural products with their predicted ethanol yields, and a telecommunications link coupling the analyzer to the central processor for allowing the communication between the analyzer and the central processor.

First claim

What is claimed is:

1. A method of sorting agricultural products based on predicted ethanol yield, the method comprising:
screening harvested agricultural products to determine presence or absence of a trait predictive for ethanol yield;
identifying the screened agricultural products as at least high yield or low yield according to the determined trait;
imaging the identified high yield agricultural products and comparing the image to a calibrated model to predict ethanol yield for the agricultural products; and
sorting the identified high yield agricultural products into at least three pools relating to predicted ethanol yield;
wherein the at least three pools segregate the sorted agricultural products according to predicted ethanol yield, such that a first one of the at least three pools contains agricultural products with a generally higher predicted ethanol yield, a second one of the at least three pools contains agricultural products with a generally lower predicted ethanol yield, and a third one of the at least three pools contains agricultural products with an intermediate predicted ethanol yield.

2. The method of claim 1 , wherein imaging the identified high yield agricultural products includes: generating a spectral image of the agricultural products using near infrared spectroscopy.

3. The method of claim 1 , wherein the trait is a qualitative trait.

4. The method of claim 1 , further comprising fermenting pools of the sorted agricultural products having a predicted ethanol yield of at least about two gallons per bushel.

5. The method of claim 4 , further comprising characterizing the identified high yield agricultural products in each of the at least three pools based on at least one desired trait;
wherein fermenting the sorted agricultural products includes tailoring at least one ethanol production process based on the at least one desired trait used to characterize the high yield agricultural products to optimize ethanol yield from the agricultural products.

6. The method of claim 5 , wherein tailoring the at least one ethanol production process includes combining at least one additive with the agricultural products during at least one ethanol production process.

7. The method of claim 6 , wherein the at least one additive includes an enzyme.

8. The method of claim 5 , wherein tailoring the at least one ethanol production process includes combining at least two additives with the agricultural products during at least one ethanol production process, and wherein at least one of the at least two additives is an enzyme.

9. The method of claim 4 , further comprising, prior to fermenting pools of the sorted agricultural products:
drying the sorted agricultural products; and
grinding the dried agricultural products to a grind size of about 500 μm.

10. The method of claim 9 , wherein the trait predictive for ethanol yield is degree of starch-protein association.

11. The method of claim 1 , further comprising quantitatively identifying ones of the at least three pools of the sorted agricultural products that have a predicted ethanol yield of at least about two gallons per bushel with a numerical indicator corresponding to the predicted ethanol yield for the agricultural product.

12. The method of claim 11 , further comprising quantitatively identifying pools of the sorted agricultural products that have a predicted ethanol yield of at least about 2.8 gallons per bushel with a numerical indicator corresponding to the predicted ethanol yield of at least about 2.8 gallons per bushel.

13. The method of claim 12 , further comprising quantitatively identifying pools of the sorted agricultural products that have a predicted ethanol yield of at least about three gallons per bushel with a numerical indicator corresponding to the predicted ethanol yield of at least about three gallons per bushel.

14. The method of claim 1 , wherein the agricultural products include at least one of whole grain agricultural products, corn, sugarcane, sugar beet, and cassava.

15. The method of claim 1 , wherein imaging the agricultural products occurs while transporting the agricultural products.

16. The method of claim 15 , wherein imaging the agricultural products occurs on a rail car.

17. The method of claim 1 , wherein imaging the agricultural products occurs while storing the agricultural products.

18. The method of claim 1 , further comprising: collecting representative samples of the identified high yield agricultural products; and removing a core sample from each of the collected representative samples; wherein imaging the identified high yield agricultural products includes imaging the core samples.

19. The method of claim 1 , wherein the trait is a quantitative trait.

20. The method of claim 1 , further comprising:
drying the sorted agricultural products in at least one of the at least three pools; and
grinding the dried agricultural products to a grind size of about 500 μm.

21. The method of claim 1 , wherein the trait predictive for ethanol yield is degree of starch-protein association.

22. The method of claim 1 , further comprising characterizing the identified high yield agricultural products in each of the at least three pools based on at least one desired trait, whereby a decision to select agricultural products from ones of the at least three pools can be based, at least in part, on the associated characterization.

23. The method of claim 22 , further comprising quantitatively identifying each of the at least three pools of the sorted agricultural products based on the ethanol yield of the agricultural products included in the pools.

24. The method of claim 1 , further comprising harvesting the agricultural products.

Assignees

• Edgerton Michael D
• Das Pradip K
• Hobbs Troy W
• Monsanto Technology Llc

Inventors

• Edgerton Michael D
• Das Pradip K
• Hobbs Troy W

Classifications

• G01N21/3563 Primary

  for analysing solids; Preparation of samples therefor · CPC title

• G06F2218/00

  Aspects of pattern recognition specially adapted for signal processing · CPC title

• C12P7/06 Primary

  Ethanol, i.e. non-beverage · CPC title

• Y02E50/17

  Cross-Sectional Technologies · mapped topic

• A01H1/00

  Processes for modifying genotypes {; Plants characterised by associated natural traits} (A01H4/00 takes precedence) · CPC title