WINDROW RELATIVE YIELD DETERMINATION THROUGH STEREO IMAGING

• US 20150379721A1
• Filed: 09/27/2013
• Published: 12/31/2015
• Est. Priority Date: 09/28/2012
• Status: Abandoned Application

• Current Assignee: AGCO Corporation, Justin Bak
• Original Assignee: AGCO Corporation
• Inventors: Good, Grant Lewis, Bak, Justin, O'Halloran, Michael Lee
• Application Number:
  US14/432,277
• Publication Number:
  US 20150379721A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/10021 Stereoscopic video; Stereoscopic image sequence
• CPC Class Codes: G06T 2207/30188 Vegetation; Agriculture
• CPC Class Codes: G06T 7/593 from stereo images
• CPC Class Codes: G06T 7/62 of area, perimeter, diameter or volume
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

A method that that captures images of a windrow and determines a cross section of the windrow based on the captured images to provide a yield map.

Claims

1. A method, comprising:

receiving plural images of a windrow from an imaging system located on an agricultural machine;

generating a stereo image of the windrow from the plural images;

determining by a processing system a cross section of the windrow based on the stereo image; and

generating a yield map based on the determined cross section.

2. The method of claim 1, wherein generating a yield map is further based on additional information.

3. The method of claim 2, wherein the additional information comprises one or any combination of spatial data or header width of an agricultural machine.

4. The method of claim 1, wherein determining further comprises generating a point cloud corresponding to the stereo image.

5. The method of claim 1, wherein operation of the imaging system is based on a visible spectrum of light or non-visible spectrum of light.

6. The method of claim 1, wherein receiving comprises receiving in real-time or non-real time.

7. The method of claim 1, wherein receiving comprises receiving regularly or irregularly.

8. The method of claim 1, wherein the processing system resides in the agricultural machine or remotely from the agricultural machine.

9. The method of claim 1, wherein the imaging system comprises plural cameras.

10. A system, comprising:

an agricultural machine comprising an imaging system configured to capture images of a windrow;

a processing system configured to;

determine a cross section of the windrow based on input from the imaging system; and

generate a yield map based on the determined cross section.

11. The system of claim 10, wherein the agricultural machine is located remotely from the processing system.

12. The system of claim 10, wherein the agricultural machine comprises the processing system.

13. The system of claim 10, wherein the processing system is configured to receive a stereo image from the imaging system.

14. The system of claim 10, wherein the processing system is configured to receive plural images from the imaging system, generate a stereo image based on the plural images, and determine the cross section based on the stereo image.

15. The system of claim 10, wherein the imaging system comprises a laser radar topography measurement system.

16. The system of claim 10, wherein the imaging system comprises plural cameras.

17. The system of claim 10, wherein operation of the imaging system is based on a visible spectrum of light or non-visible spectrum of light.

18. The system of claim 10, wherein the processing system is configured to determine, generate, or determine and generate at a time proximal to receiving the input or not proximal to receiving the input.

19. The system of claim 10, wherein the processing system is configured to receive the input periodically or aperiodically.