Exchanging water allocation credits

• US 9,846,848 B2
• Filed: 10/24/2011
• Issued: 12/19/2017
• Est. Priority Date: 10/25/2010
• Status: Active Grant

• Current Assignee: Trimble Inc.
• Original Assignee: Trimble Inc.
• Inventors: Lindores, Robert J., Sandford, Katherine, Hilliker, Richard W., Hamilton, Jeffrey A.
• Primary Examiner(s): Shaikh, Mohammad Z
• Application Number:
  US13/280,306
• Publication Number:
  US 20120101934A1
• Time in Patent Office: 2,248 Days
• CPC Class Codes: A01B 79/005 Precision agriculture
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A method of exchanging water allocation credits comprises accessing data describing a water allocation credit reserved for a first user. An unused amount of the water allocation credit which will not be used by the first user is then determined. A sale is then brokered of the unused amount of the water allocation credit to another user.

Claims

1. A method comprising:

accessing, by a computer system, data describing a water allocation credit reserved for a first user;

determining, by the computer system, a used amount of the water allocation credit that has been used by the first user, wherein determining includes measuring the used amount via a pump, flow meter or a flow monitor;

determining actual crop characteristic data by performing tests on sampled crops grown by the first user using the used amount of the water allocation credit;

measuring by an optical reflectivity sensor, optical reflectivity data for the crops grown by the first user using the used amount of the water allocation credit to determine a normalized difference vegetative index map;

accessing, by the computer system, a set of agricultural data for the first user, the set of agricultural data including soil composition data, weather data, and the actual crop characteristic data;

generating, by the computer system, a predicted amount of the water allocation credit that will be used by the first user, wherein generating the predicted amount includes using the set of agricultural data including the actual crop characteristic data and the normalized difference vegetative index map;

determining, by the computer system, an unused amount of the water allocation credit that will not be used by the first user, wherein determining the unused amount includes using the used amount of the water allocation credit and the predicted amount of the water allocation credit;

determining, by the computer system, a subset of the unused amount of the water allocation credit that is advised to be sold, wherein determining the subset of the unused amount of the water allocation credit includes using the predicted amount of the water allocation credit and performing an analysis of a crop yield of the first user based on the predicted amount of the water allocation credit, the set of agricultural data including the actual crop characteristic data, and the normalized difference vegetative index map; and

transmitting, by the computer system, a report to a remote computer system associated with the first user, wherein the report identifies the subset of the unused amount of the water allocation credit that is advised to be sold.

2. The method recited in claim 1, further comprising:

aggregating, by the computer system, an unused amount of a second water allocation credit, with the unused amount of the water allocation credit to create an aggregated unused water allocation credit, wherein determining the subset of the unused amount of the water allocation credit includes determining an aggregated subset or the or the aggregated unused water allocation credit.

3. The method recited in claim 1, wherein determining the subset or the unused amount or the water allocation credit includes comparing the predicted amount of the water allocation credit with the water allocation credit.

4. The method recited in claim 3, wherein determining the subset of the unused amount of the water allocation credit includes determining that the water allocation credit exceeds the predicted amount of the water allocation credit.

5. The method recited in claim 3, wherein performing the analysis of the crop yield includes accessing a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the data selected from the group consisting of soil composition data, weather data, and crop data.

6. The method recited in claim 5, wherein performing the analysis of the crop yield includes:

comparing the subscriber data set with the set of agricultural data for the first user; and

generating a predicted crop yield for the first user based upon a sale of the subset of the unused amount of the water allocation credit.

7. The method recited in claim 1, further comprising:

accessing, by the computer system, a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the data selected from the group consisting of soil composition data, weather data, and crop data;

comparing, by the computer system, the subscriber data set with a second set of agricultural data for a second user, the second set of agricultural data selected from the group consisting of soil composition data, weather data, and crop data; and

generating, by the computer system, a predicted crop yield for the second user based upon a sale of the subset of the unused amount of the water allocation credit.

8. A non-transitory computer-readable storage medium having computer readable instructions stored thereon which, when executed, cause a processor to perform a method comprising:

accessing data describing a water avocation credit reserved for a first user;

determining a used amount of the water allocation credit that has been used by the first user, wherein determining includes measuring the used amount via a pump, flow meter or a flow monitor;

determining actual crop characteristic data based on test performed on sampled crops grown by the first user using the used amount of the water allocation credit;

commanding measuring of optical reflectivity data for the crops grown by the first user using the used amount of the water allocation credit to determine a normalized difference vegetative index map;

accessing a set of agricultural data for the first user, the set of agricultural data including consisting of soil composition data, weather data, and the actual crop characteristic data;

generating a predicted amount of the water allocation credit that will be used by the first user, wherein generating the predicted amount includes using the set of agricultural data including the actual crop characteristic data and the normalized difference vegetative index map;

determining an unused amount of the water allocation credit that will not be used by the first user, wherein determining the unused amount includes using the used amount of the water allocation credit and the predicted amount or the water allocation credit;

determining a subset of the unused amount of the water allocation credit that is advised to be sold, wherein determining the subset of the unused amount of the water allocation credit includes using the predicted amount of the water allocation credit and performing an analysis of a crop yield of the first user based on the predicted amount of the water allocation credit, the set of agricultural data including the actual crop characteristic data, and the normalized difference vegetative index map;

transmitting a report to a remote computer system associated with the first user, wherein the report identifies the subset of the unused amount of the water allocation credit that is advised to be sold; and

receiving a request to sell the subset of the unused amount of the water allocation credit to another user.

9. The non-transitory computer-readable storage medium recited in claim 8, wherein the method further comprises:

aggregating an unused amount of a second water allocation credit with the unused amount of the water allocation credit to create an aggregated unused water allocation credit, wherein determining the subset of the unused amount of the water allocation credit includes determining an aggregated subset of the aggregated unused water allocation credit.

10. The non-transitory computer-readable storage medium recited in claim 8, wherein determining the subset of the unused amount of the water allocation credit includes comparing the predicted amount of the water allocation credit with the water allocation credit.

11. The non-transitory computer-readable storage medium recited in claim 10, wherein determining the subset of the unused amount of the water allocation credit includes determining that the water allocation credit exceeds the predicted amount of the water allocation credit.

12. The non-transitory computer-readable storage medium recited in claim 10, wherein performing the analysis of the crop yield includes accessing a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the data selected from the group consisting of soil composition data, weather data, and crop data.

13. The non-transitory computer-readable storage medium recited in claim 12, wherein performing the analysis of the crop yield includes:

comparing the subscriber data set with the set of agricultural data for the first user; and

generating a predicted crop yield for the first user based upon a sale of the subset of the unused amount of the water allocation credit.

14. The non-transitory computer-readable storage medium recited in claim 8, wherein the method further comprises:

accessing a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the data selected from the group consisting of soil composition data, weather data, and crop data;

comparing the subscriber data set with a second set of agricultural data for a second user, the second set of agricultural data selected from the group consisting or soil composition data, weather data, and crop data; and

generating a predicted crop yield for the second user based upon a sale of the subset of the unused amount of the water allocation credit.

15. A system comprising:

a reporting agent configured to report a water allocation credit reserved for a first user;

a database configured to access data describing the water allocation credit reserved for a first user, and a set of agricultural data for the first user, the set of agricultural data selected from the group consisting of soil composition data, weather data, and crop data;

a fixed asset monitoring a used amount of the water allocation credit, wherein the fixed asset comprises one or more of a pump, a flow meter, or a flow monitor;

an optical reflectivity sensor for measuring optical reflectivity data for crops grown by the first user; and

a processor configured to perform operations including;

generating a predicted amount of the water allocation credit that will be used by the first user, wherein generating the predicted amount includes using the set of agricultural data;

determining actual crop characteristic data based on tests performed on sampled crops grown by the first user using the used amount of the water allocation credit;

commanding the optical reflectivity sensor to measure optical reflectivity data for the crops grown by the first user using the used amount of the water allocation credit to determine a normalized difference vegetative index map;

accessing a set of agricultural data for the first user, the set of agricultural data including consisting of soil composition data, weather data, and the actual crop characteristic data;

generating a predicted amount of the water allocation credit that will be used by the first user, wherein generating the predicted amount includes using the set of agricultural data including the actual crop characteristic data and the normalized difference vegetative index map;

determining an unused amount of the water allocation credit that will not be used by the first user, wherein determining the unused amount includes using the used amount of the water allocation credit and the predicted amount of the water allocation credit;

determining a subset of the unused amount of the water allocation credit that is advised to be sold, wherein determining the subset of the unused amount of the water allocation credit includes using the predicted amount of the water allocation credit and performing an analysis of a crop yield of the first user based on the predicted amount of the water allocation credit, the set of agricultural data including the actual crop characteristic data, and the normalized difference vegetative index map;

transmitting a report to a remote computer system associated with the first user, wherein the report identifies the subset of the unused amount of the water allocation credit that is advised to be sold; and

receiving a request to sell the subset of the unused amount of the water allocation credit to another user.

16. The water allocation credit exchange system recited in claim 15;

further comprising;

an aggregating agent configured to aggregate an unused amount of a second water allocation credit with the unused amount of the water allocation credit to create an aggregated unused water allocation credit, wherein determining the subset of the unused amount of the water allocation credit includes determining an aggregated subset of the aggregated unused water allocation credit.

17. The water allocation credit exchange system recited in claim 16, wherein determining the subset of the unused amount of the water allocation credit includes comparing the predicted amount of the water allocation credit with the water allocation credit.

18. The water allocation credit exchange system recited in claim 17, wherein determining the subset of the unused amount of the water allocation credit includes determining that the water allocation credit exceeds the predicted amount of the water allocation credit.

19. The water allocation credit exchange system recited in claim 17, wherein the aggregating agent is further configured to access a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the subscriber data selected from the group consisting of soil composition data, weather data, and crop data, and wherein performing the analysis of the crop yield includes:

comparing the subscriber data set with the set of agricultural data for the first user; and

generating a predicted crop yield for the first user based upon a sale of the subset of the unused amount of the water allocation credit.

20. The water allocation credit exchange system recited in claim 15, wherein the processor is further configured to perform operations including:

accessing a subscriber data set from a subscriber to a wide-area farming information collection and dissemination network, the data selected from the group consisting of soil composition data, weather data, and crop data,

comparing the subscriber data set with a second set of agricultural data for a second user, and

generating a predicted crop yield for the second user based upon a sale of the subset of the unused amount of the water allocation credit.