Auto-calibration method for real-time agricultural sensors

• US 8,816,262 B2
• Filed: 09/29/2011
• Issued: 08/26/2014
• Est. Priority Date: 07/03/2007
• Status: Active Grant

• Current Assignee: Kyle H. Holland
• Original Assignee: Kyle H. Holland
• Inventors: Holland, Kyle H.
• Primary Examiner(s): Sohn, Seung C
• Application Number:
  US13/248,523
• Publication Number:
  US 20120016517A1
• Time in Patent Office: 1,062 Days
• Field of Search: 250/206.1, 382/110, 702/2, 702/5
• US Class Current: 250/206.1
• CPC Class Codes: A01B 79/005 Precision agriculture
• CPC Class Codes: A01C 21/002 Apparatus for sowing fertiliser; Fertiliser drill
• CPC Class Codes: A01C 21/005 Following a specific plan, e.g. pattern

Abstract

A method for application of an agricultural product to a field is provided. The method includes acquiring real-time sampled data using real-time agricultural sensors, auto-calibrating the real-time agricultural sensors using statistical characteristics of the real-time sampled data to determine an application rate, and applying the agricultural product to the field based on the application rate. The step of auto-calibrating can be performed in various ways depending upon the type of agricultural product, the data available from the agricultural sensors or otherwise, or otherwise.

Claims

1. A method for application of an agricultural product to a field, the method comprising:

acquiring real-time sampled data using real-time agricultural sensors;

auto-calibrating the real-time agricultural sensors using statistical characteristics of the real-time sampled data to determine an application rate; and

applying the agricultural product to the field based on the application rate.

2. The method of claim 1 further comprising determining a set of application rates wherein the application rate is within the set of the application rates and the step of auto-calibrating provides for selection of the application rate from the set of the application rates.

3. The method of claim 2 wherein the agricultural product comprises an agrochemical and the set of application rates are user-specified into a variable rate applicator.

4. The method of claim 2 wherein the agricultural product is seed and the set of application rates are user-specified into a planter system.

5. The method of claim 1 wherein the step of auto-calibrating is performed using information associated with packaging of seed or agrochemicals.

6. The method of claim 5 wherein the information associated with the packaging of seed or agrochemicals is encoded on one or more bar codes of the packaging.

7. The method of claim 5 wherein the information associated with the packaging of seed or agrochemicals is encoded in one or more radio frequency identification (RFID) tags of the packaging.

8. The method of claim 5 wherein the information associated with packaging of seed or agrochemicals comprises best management practices.

9. The method of claim 1 wherein the step of auto-calibrating the real-time agricultural sensors using the statistical characteristics of the real-time sampled data to determine the application rate comprises:

analyzing a distribution of the real-time sampled to determine a mean and a value proximate a maximum value;

calculating a minimum value from the mean and the value proximate the maximum value;

using the minimum value, the mean, and the value proximate the maximum value to determine the application rate.

10. The method of claim 1 wherein the step of auto-calibrating the real-time agricultural sensors using statistical characteristics uses a histogram method.

11. The method of claim 1 wherein the step of auto-calibrating the real-time agricultural sensors using statistical characteristics comprises using regional data.

12. The method of claim 1 wherein the step of auto-calibrating the real-time agricultural sensors using statistical characteristics comprises using field data.

13. An apparatus for application of an agricultural product to a field, the apparatus comprising:

a plurality of real-time agricultural sensors;

a control unit in operative communication with the plurality of real-time agricultural sensors, the control unit configured to perform steps of (a) acquiring real-time sampled data using the real-time agricultural sensors, (b) auto-calibrating the real-time agricultural sensors using statistical characteristics of the real-time sampled data to determine an application rate, and (c) applying the agricultural product to the field based on the application rate.

14. The apparatus of claim 13 wherein the apparatus is further configured for determining a set of application rates wherein the application rate is within the set of the application rates and the step of auto-calibrating provides for selection of the application rate from the set of the application rates.

15. The apparatus of claim 14 wherein the agricultural product comprises an agrochemical and the set of application rates are user-specified into a variable rate applicator operatively connected to the control unit.

16. The apparatus of claim 14 wherein the agricultural product is seed and the set of application rates are user-specified into a planter system operatively connected to the control unit.

17. The apparatus of claim 13 wherein the step of auto-calibrating is performed using information associated with packaging of seed or agrochemicals.

18. The apparatus of claim 17 wherein the information associated with the packaging of seed or agrochemicals is encoded on one or more bar codes of the packaging.

19. The apparatus of claim 17 wherein the information associated with the packaging of seed or agrochemicals is encoded in one or more radio frequency identification (RFID) tags of the packaging.

20. The apparatus of claim 17 wherein the information associated with packaging of seed or agrochemicals further comprises best management practices information.

21. The apparatus of claim 13 wherein the step of auto-calibrating the real-time agricultural sensors using the statistical characteristics of the real-time sampled data to determine the application rate comprises:

analyzing a distribution of the real-time sampled to determine a mean and a value proximate a maximum value;

calculating a minimum value from the mean and the value proximate the maximum value;

using the minimum value, the mean, and the value proximate the maximum value to determine the application rate.

22. The apparatus of claim 13 wherein the step of auto-calibrating the real-time agricultural sensors using statistical characteristics uses a histogram method.

23. A method, comprising:

acquiring real-time sample data with agriculture sensors;

auto-calibrating the agriculture sensors using an auto-calibrate engine to determine an application rate;

applying agricultural product at the application rate;

maintaining location data associated with the real-time sample data and application rate data;

identifying locations in which plants exhibit characteristics of interest after application of the agricultural product.

24. The method of claim 23 further comprising using the plants in a plant breeding program.

25. A method, comprising:

acquiring sample data with agriculture sensors traveling through a field, the sample data having location data associated therewith;

analyzing the sample data using statistical characteristics to determine plants within the field having characteristics of interest.

26. The method of claim 25 wherein the characteristics of interest are associated with vegetation index values of interest.

27. The method of claim 25 wherein the step of analyzing the sample data using statistical characteristics uses a histogram method.