WIDE-AREA AGRICULTURAL MONITORING AND PREDICTION

• US 20120101861A1
• Filed: 10/24/2011
• Published: 04/26/2012
• Est. Priority Date: 10/25/2010
• Status: Active Grant

• Current Assignee: PTx Trimble LLC
• Original Assignee: Trimble Navigation Limited (Trimble Inc.)
• Inventors: Lindores, Robert J.
• Granted Patent: US 9,058,633 B2
• Time in Patent Office: Days
• US Class Current: 705/7.11
• 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 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining

Abstract

A system for agricultural monitoring and prediction comprises a first reporting agent a second reporting agent a database, and a processor. The first reporting agent is configured for reporting aerial data representing relative measurements of an agricultural metric in a geographic area, the relative measurements having an unknown bias. The second reporting is configured for reporting ground-based data representing absolute measurements of the agricultural metric for a portion of the geographic area. The database is configured for storing the absolute measurement data and the relative measurement data along with other farming data for a wide geographic area. The processor is configured for accessing the database and using the ground-based data for the portion of the geographic area to calibrate the aerial data, thereby synthesizing absolute measurements of the agricultural metric for the geographic area from the aerial data.

Claims

1. A system for agricultural monitoring and prediction, said system comprising:

a first reporting agent configured for reporting aerial data representing relative measurements of an agricultural metric in a geographic area, the relative measurements having an unknown bias;

a second reporting agent configured for reporting ground-based data representing absolute measurements of the agricultural metric for a portion of the geographic area; and

a database configured for storing said ground-based data and said aerial data along with other farming data for a wide geographic area; and

a processor configured for accessing the database and using said ground-based data for the portion of said geographic area to calibrate said aerial data, thereby synthesizing absolute measurements of the agricultural metric for said geographic area from said aerial data.

2. The system of claim 1, further comprising an aggregating agent configured for coupling with said database and filtering data collected across said wide geographic area based on attributes common with those of a particular agricultural field to generate a report relevant to said particular agricultural field.

3. The system of claim 1, wherein said first reporting agent comprises a reporting agent coupled with an aircraft.

4. The system of claim 1, wherein said first reporting agent is coupled with a crop dusting aircraft.

5. The system of claim 1, wherein said second reporting agent is coupled with a land bound vehicle.

6. The system of claim 1, wherein said second reporting agent is coupled with a mobile device which is hand-holdable.

7. A system for agricultural monitoring and prediction, said system comprising:

a data source of aerial data representing relative measurements of an agricultural metric in a geographic area, the relative measurements having an unknown bias;

a reporting agent configured for reporting ground-based data representing absolute measurements of the agricultural metric for a portion of the geographic area; and

a database configured for storing said ground-based data and said aerial data along with other farming data for a wide geographic area; and

a processor configured for accessing the database and using said ground-based data for the portion of said geographic area to calibrate said aerial data, thereby synthesizing absolute measurements of the agricultural metric for said geographic area from said aerial data.

8. The system of claim 7, further comprising an aggregating agent configured for coupling with said database and filtering data collected across said wide geographic area based on attributes common with those of a particular agricultural field to generate a report relevant to said particular agricultural field.

9. The system of claim 7, wherein said data source comprises a public data source.

10. The system of claim 7, wherein said data source comprises a private data source.

11. The system of claim 7, wherein said reporting agent is coupled with a land bound vehicle.

12. The system of claim 7, wherein said reporting agent is coupled with a mobile device which is hand-holdable.

13. A non-transitory computer-readable storage medium having computer readable instructions stored thereon which, when executed, cause a processor to perform a method of agricultural monitoring and prediction, said method comprising:

obtaining aerial data representing relative measurements of an agricultural metric in a geographic area, said aerial data having an unknown bias;

obtaining ground-based data representing absolute measurements of said agricultural metric within said geographic area;

using said ground-based data to calibrate said aerial data, thereby synthesizing absolute measurements of said agricultural metric in parts of said geographic area from said aerial data; and

storing said ground-based data and said synthesized absolute measurements in a database along with other farming data collected across a wide geographic area.

14. The non-transitory computer-readable storage medium of claim 13, wherein said instructions for said method further comprise instructions for:

filtering data collected across said wide geographic area based on attributes common with those of a particular agricultural field to generate a report relevant to said particular agricultural field.

15. The non-transitory computer-readable storage medium of claim 13, wherein said instructions for said method further comprise instructions for:

combining said ground-based data and said synthesized absolute measurements with additional spatial agricultural data to generate a prescription for the application of chemicals to an agricultural field.

16. The non-transitory computer-readable storage medium of claim 15, wherein said combining said ground-based data and said synthesized absolute measurements with additional spatial agricultural data to generate a prescription for the application of chemicals to an agricultural field comprises:

using a second agricultural metric and climate data as said additional spatial agricultural data.

17. The non-transitory computer-readable storage medium of claim 16, wherein said using an agricultural metric and climate data as said additional spatial agricultural data comprises:

using a normalized difference vegetative index as said second agricultural metric and growing degree days since planting as said climate data.

18. The non-transitory computer-readable storage medium of claim 13, wherein said synthesizing absolute measurements further comprises:

using a plant growth model to propagate ground-based data forward or backward in time as needed to compare it with non-contemporaneous aerial data.

19. The non-transitory computer-readable storage medium of claim 18, wherein said plant growth model is a linear model.

20. The non-transitory computer-readable storage medium of claim 13, wherein said agricultural metric comprises a normalized difference vegetative index.

21. The non-transitory computer-readable storage medium of claim 13, wherein said agricultural metric comprises a reflectance-based vegetative index.