Systems and methods for determining residue coverage of a field

1. A method for determining residue coverage of a field, the method comprising:

receiving, with a computing system, a captured image depicting an imaged portion of a field from one or more imaging devices;

determining, with the computing system, an image gradient orientation at each of a plurality of pixels within the captured image;

determining, with the computing system, a plurality of image gradient orientation densities associated with the captured image based on the determined image gradient orientations; and

determining, with the computing system, a residue coverage parameter associated with the imaged portion of the field based on the determined plurality of image gradient orientation densities.

2. The method of claim 1 , further comprising:

quantizing, with the computing system, each of the determined image gradient orientations as one of a predetermined plurality of image gradient orientations.

3. The method of claim 2 , further comprising:

generating, with the computing system, a plurality of binary images based on the quantized image gradient orientations, each binary image corresponding to one of the predetermined plurality of image gradient orientations such that each binary image depicts pixels of the plurality of pixels having the corresponding image gradient orientation.

4. The method of claim 3 , further comprising:

generating, with the computing system, a plurality of image gradient orientation density images based on the plurality of binary images; and

generating, with the computing system, a composite image depicting a maximum local density of the image gradient orientations depicted within the plurality of image gradient orientation density images at the plurality of pixels.

5. The method of claim 4 , further comprising:

comparing, with the computing system, the maximum density depicted within the composite image for a given pixel of the plurality of pixels to a threshold density value; and

when the maximum density exceeds the threshold density value, classifying, with the computing system, the given pixel as a residue pixel.

6. The method of claim 5 , wherein determining the residue coverage parameter comprises determining, with the computing system, the residue coverage parameter based on a percentage of the plurality of pixels classified as residue pixels.

7. The method of claim 5 , wherein determining the residue coverage parameter comprises:

dividing, with the computing system, the composite image into a plurality of sections;

determining, with the computing system, an initial residue coverage parameter associated each of the plurality of sections; and

determining, with the computing system, the residue coverage parameter for the imaged portion of the field based on a percentage of the initial residue coverage parameters exceeding a predetermined threshold.

8. The method of claim 7 , further comprising:

determining, with the computing system, a residue evenness parameter based on the composite image.

9. The method of claim 8 , wherein determining the residue evenness parameter comprises:

determining, with the computing system, a coefficient of variance of the determined initial residue coverage parameters.

10. The method of claim 5 , wherein the composite image depicts the image gradient orientation at which the maximum density occurs for each of the plurality of pixels.

11. The method of claim 3 , further comprising:

blurring, with the computing system, each of the generated plurality of binary images; and

downsampling, with the computing system, each generated plurality of binary images.

12. The method of claim 1 , wherein the one or more imaging devices are supported relative to an agricultural machine such that the images of the field are captured as the agricultural machine travels across the field, the method further comprising:

initiating, with the computing system, a control action associated with adjusting the operation of the agricultural machine based on the determined residue coverage parameter.

13. A system for determining residue coverage of a field, the system comprising:

an imaging device configured to capture images of a field; and

a computing system communicatively coupled to the imaging device, the computing system including a processor and associated memory, the memory storing instructions that, when implemented by the processor, configure the computing system to:

receive a captured image depicting an imaged portion of the field from the imaging device;

determine an image gradient orientation at each of a plurality of pixels within the captured image;

determine a plurality of image gradient orientation densities associated with captured image the based on the determined image gradient orientations; and

determine a residue coverage parameter associated with the imaged portion of the field based on the determined plurality of image gradient orientation densities.

14. The system of claim 13 , wherein the computing system is further configured to quantize each of the determined image gradient orientations as one of a predetermined plurality of image gradient orientations.

15. The system of claim 14 , wherein the computing system is further configured to generate a plurality of binary images based on the quantized image gradient orientations, each binary image corresponding to one of the predetermined plurality of image gradient orientations such that each binary image depicts pixels of the plurality of pixels having the corresponding image gradient orientation.

16. The system of claim 15 , wherein the computing system is further configured to:

generate a plurality of image gradient orientation density images based on the plurality of binary images; and

generate a composite image depicting a maximum local density of the image gradient orientations depicted within the plurality of image gradient orientation density images at the plurality of pixels.

17. The system of claim 16 , wherein the computing system is further configured to:

compare the maximum density depicted within the composite image for a given pixel of the plurality of pixels to a threshold density value; and

when the maximum density exceeds the threshold density value, classify the given pixel as a residue pixel.

18. The system of claim 17 , wherein, when determining the residue coverage parameter, the computing system is further configured to determine the residue coverage parameter based on a percentage of the plurality of pixels classified as residue pixels.

19. The system of claim 17 , wherein, when determining the residue coverage parameter, the computing system is further configured to:

divide the composite image into a plurality of sections;

determine an initial residue coverage parameter associated each of the plurality of sections; and

determine the residue coverage parameter for the imaged portion of the field based on a percentage of the initial residue coverage parameters exceeding a predetermined threshold.

20. The system of claim 16 , wherein:

the imaging device is supported relative to an agricultural machine such that the images of the field are captured as the agricultural machine travels across the field; and

the computing system is further configured to initiate a control action associated with adjusting the operation of agricultural machine based on the determined residue coverage parameter.