System and method for determining residue coverage within a field following a harvesting operation

Patent metadata

Field	Value
Publication number	US-11937527-B2
Application number	US-201916527264-A
Country	US
Kind code	B2
Filing date	Jul 31, 2019
Priority date	Jul 31, 2019
Publication date	Mar 26, 2024
Grant date	Mar 26, 2024

Abstract

A method for determining residue coverage within a field after a harvesting operation may include receiving yield data associated with an estimated crop yield across a field and generating an estimated residue coverage map for the field based at least in part on the yield data. The method may further include receiving residue data associated with residue coverage across a surface of the field following the performance of a harvesting operation within the field. Additionally, the method may include generating an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

First claim

What is claimed is:

1. A method for determining residue coverage within a field, the method comprising:
receiving, with one or more computing devices, yield data associated with an estimated crop yield across a field, the yield data being generated by a yield sensor having a field of view directed upstream of where crop residue is expelled from a harvester during a performance of a harvesting operation by the harvester;
generating, with the one or more computing devices, an estimated residue coverage map for the field based at least in part on the yield data;
receiving, with the one or more computing devices, residue data associated with at least one of a thickness or a distribution of residue coverage across a surface of the field following the performance of the harvesting operation within the field, the residue data being generated by a residue sensor having a field of view directed towards the surface of the field after the performance of the harvesting operation; and
generating, with the one or more computing devices, an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

2. The method of claim 1 , further comprising controlling, with the one or more computing devices, an operation of an agricultural implement based at least in part on the updated residue coverage map during the performance of a second agricultural operation subsequent to the harvesting operation.

3. The method of claim 2 , further comprising generating a prescription map for the field based at least in part on the updated residue coverage map, wherein controlling the operation of the agricultural implement comprises controlling the agricultural implement based at least in part on the prescription map for the field.

4. The method of claim 3 , wherein the prescription map specifies at least one of a tool depth, tool angle, or speed of the agricultural implement for a plurality of different locations within the field.

5. The method of claim 1 , wherein receiving the yield data comprises receiving the yield data from the yield sensor, the yield sensor being part of a yield monitoring system positioned on the harvester performing the harvesting operation or on an unmanned aerial vehicle (UAV) such that the yield data corresponds to an estimated crop yield of the harvesting operation.

6. The method of claim 1 , wherein the residue sensor is positioned on the harvester performing the harvesting operation, on an unmanned aerial vehicle (UAV), or on an agricultural implement configured to perform a second agricultural operation subsequent to the harvesting operation.

7. The method of claim 6 , wherein the residue sensor comprises an infrared sensor, a radar sensor, a LIDAR device, or a camera.

8. The method of claim 1 , wherein the residue data comprises at least one of light reflectance data, heat data, or image data.

9. The method of claim 1 , wherein receiving the yield data or the residue data comprises receiving geo-referenced data associated with at least one of the yield data or the residue data from a computing device remote to the one or more computing devices.

10. A system for determining residue coverage within a field, the system comprising:
a yield sensor that generates yield data indicative of an estimated crop yield for a field, the yield sensor having a field of view directed upstream of where crop residue is expelled from a harvester during a performance of a harvesting operation by the harvester;
a residue sensor that generates residue data indicative of at least one of a thickness or a distribution of residue coverage across a surface of the field following the performance of the harvesting operation within the field, the residue sensor having a field of view directed towards the surface of the field following the performance of the harvesting operation; and
one or more computing devices configured to:
receive the yield data from the yield sensor;
generate an estimated residue coverage map for the field based at least in part on the yield data;
receive the residue data from the residue sensor; and

generate an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

11. The system of claim 10 , wherein the one or more computing devices are further configured to control an operation of an agricultural implement based at least in part on the updated residue coverage map during the performance of a second agricultural operation subsequent to the harvesting operation.

12. The system of claim 11 , wherein the one or more computing devices are further configured to generate a prescription map for the field based at least in part on the updated residue coverage map, wherein the one or more computing devices are configured to control the operation of the agricultural implement based at least in part on the prescription map.

13. The system of claim 12 , wherein the prescription map specifies at least one of a tool depth, tool angle, or speed of the agricultural implement for a plurality of different locations within the field.

14. The system of claim 10 , wherein the yield sensor is part of a yield monitoring system positioned on the harvester performing the harvesting operation or on an unmanned aerial vehicle (UAV) such that the yield data corresponds to an estimated crop yield of the harvesting operation.

15. The system of claim 10 , wherein the residue sensor is positioned on the harvester performing the harvesting operation, on an unmanned aerial vehicle (UAV), or on an agricultural implement configured to perform a second agricultural operation subsequent to the harvesting operation.

16. The system of claim 10 , wherein the residue sensor comprises an infrared sensor, a radar sensor, a LIDAR device, or a camera.

17. The system of claim 11 , wherein the agricultural implement is a tillage implement.

18. The system of claim 10 , wherein the field of view of the yield sensor is directed towards the field such that the yield sensor generates data indicative of crop coverage across the field before the harvesting operation, the crop coverage being indicative of the estimated crop yield for the field.

19. The method of claim 1 , wherein generating the estimated residue coverage map for the field based at least in part on the yield data comprises indicating in the estimated residue coverage map an estimated even thickness or an even constant distribution of residue coverage across an entire swath of the surface of the field expected to be present following the performance of the harvesting operation within the field based on the yield data.

Assignees

• Cnh Ind America Llc

Inventors

• Ferrari Luca
• Barrick Christopher

Classifications

• B64U2101/40

  for agriculture or forestry operations · CPC title

• B64U10/14

  with four distinct rotor axes, e.g. quadcopters · CPC title

• A01B79/005 Primary

  Precision agriculture · CPC title

• A01B69/001

  Steering by means of optical assistance, e.g. television cameras (steering devices for road marking vehicles E01C23/163) · CPC title

• A01B69/004

  automatic · CPC title