System and method for generating a prescription map for an agricultural implement based on soil compaction
A method for controlling a work vehicle towing an agricultural implement across a field during a tillage operation includes receiving one or more soil compaction parameters of the field, the work vehicle, and/or the implement. The method also includes determining one or more soil compaction levels for the field based on the one or more soil compaction parameters. Further, the method includes determining an estimated yield loss for each location in the field based on the one or more soil compaction levels. Moreover, the method includes generating a prescription map for the field based on the estimated yield loss for each location in the field. In addition, the method includes actively adjusting at least one tillage parameter of at least one of the implement or the work vehicle based on the prescription map during the tillage operation to reduce an actual yield loss of the field.
1. A method for controlling an agricultural implement during the performance of an agricultural operation within a field, the method comprising:
accessing, via a computing device, data associated with one or more soil compaction parameters indicative of soil compaction within the field;
determining, via the computing device, one or more soil compaction levels for the field based on the one or more soil compaction parameters;
determining, via the computing device, an estimated yield loss at a plurality of different locations across the field based on the one or more soil compaction levels;
generating, with the computing device, a prescription map for the field based on the estimated yield loss across the field, the prescription map prescribing at least one tillage parameter for a plurality of ground-engaging tools of the agricultural implement at the plurality of different locations across the field; and
actively adjusting, via the computing device, the at least one tillage parameter for the plurality of ground-engaging tools of the agricultural implement based on the prescription map as the agricultural implement is traversed across the field during the performance of the agricultural operation to reduce an actual yield loss of the field.
2. The method of claim 1 , wherein the one or more soil compaction parameters comprise at least one of field traffic, a weight of at least one of the agricultural implement or a work vehicle towing the agricultural implement across the field, soil type, soil composition, topsoil depth, subsoil depth, field elevation, tire traction, or sensor data associated with a load applied to one or more of the plurality of ground-engaging tools during the performance of the agricultural operation.
3. The method of claim 1 , wherein determining the one or more soil compaction levels for the field based on the one or more soil compaction parameters comprises:
accessing location data associated with a location of the agricultural implement within the field
continuously monitoring field traffic associated with the movement of the agricultural implement across the field during the performance of the agricultural operation; and
determining the one or more soil compaction levels for the field based at least in part on the field traffic.
4. The method of claim 1 , wherein determining the one or more soil compaction levels for the field based on the one or more soil compaction parameters comprises:
monitoring a load applied to one or more of the plurality of ground-engaging tools during the performance of the agricultural operation; and
correlating the load applied to the one or more of the plurality of ground-engaging tools to a soil compaction level of the one or more soil compaction levels for the field.
5. The method of claim 1 , wherein determining the estimated yield loss at the plurality of different locations across the field based on the one or more soil compaction levels comprises:
inputting the one or more soil compaction levels into a soil compaction model stored in a memory of the computing device; and
generating the estimated yield loss for each of the plurality of different locations across field via the soil compaction model.
6. The method of claim 4 , wherein correlating the load applied to the one or more of the plurality of ground-engaging tools to the soil compaction level comprises correlating the load to the soil compaction level based on a relationship between the load and a bulk soil density of the field.
7. The method of claim 1 , wherein the plurality of ground-engaging tools of the agricultural implement comprise a plurality of shanks supported relative to a frame of the agricultural implement, the plurality of shanks being configured to penetrate into the field during the performance of the agricultural operation.
8. The method of claim 7 , wherein the prescription map prescribes penetration depths for the plurality of shanks at the plurality of different locations across the field and wherein actively adjusting the at least one tillage parameter of the plurality of ground-engaging tools based on the prescription map comprises actively adjusting the penetration depths of the plurality of shanks based on the prescription map independent of other ground-engaging tools of the agricultural implement.
9. The method of claim 1 , wherein the at least one tillage parameter comprises at least one of a penetration depth for the plurality of ground-engaging tools, a distance of the plurality of ground-engaging tools from the ground, a down pressure associated with the plurality of ground-engaging tools, a spacing associated with the plurality of ground-engaging tools, or a point type associated with the plurality of ground-engaging tools.
10. A method for generating a prescription map for minimizing yield loss of a field during the performance of an agricultural operation, the method comprising:
accessing, via a computing device, data associated with one or more soil compaction parameters indicative of soil compaction within the field;
determining, via the computing device, one or more soil compaction levels for the field based on the one or more soil compaction parameters;
determining, via the computing device, an estimated yield loss at a plurality of different locations across the field based on the one or more soil compaction levels;
generating, with the computing device, a prescription map for the field based on the estimated yield loss across the field, the prescription map prescribing penetration depths for a plurality of ground-engaging tools of the agricultural implement at the plurality of different locations across the field, the plurality of ground-engaging tools being configured to penetrate into the field during the performance of the agricultural operation; and
storing the prescription map within memory of at least one of an implement controller of the agricultural implement or a vehicle controller of a work vehicle configured to tow the agricultural implement for use during the agricultural operation to minimize an actual yield loss of the field.
11. A system for performing agricultural operations, the system comprising:
an agricultural implement including a frame and a plurality of ground-engaging tools supported relative to the frame;
at least one controller for controlling an operation of the agricultural implement during the performance of an agricultural operation, the at least one controller comprising at least one processor and associated memory, the memory storing instructions that, when implemented by the at least one processor, configure the at least one controller to:
access data associated with one or more soil compaction parameters indicative of soil compaction within the field;
determine one or more soil compaction levels for the field based on the one or more soil compaction parameters;
determine an estimated yield loss at a plurality of different locations across the field based on the one or more soil compaction levels;
generate a prescription map for the field based on the estimated yield loss across the field, the prescription map prescribing at least one tillage parameter for a plurality of ground-engaging tools of the agricultural implement at the plurality of different locations across the field; and
actively adjust the at least one tillage parameter for the plurality of ground-engaging tools of the agricultural implement based on the prescription map as the agricultural implement is traversed across the field during the performance of the agricultural operation to reduce an actual yield loss of the field.
12. The system of claim 11 , wherein the one or more soil compaction parameters comprise at least one of field traffic, a weight of at least one of the agricultural implement or a work vehicle towing the agricultural implement across the field, soil type, soil composition, topsoil depth, subsoil depth, field elevation, tire traction, or sensor data associated with a load applied to one or more of the plurality of ground-engaging tools during the performance of the agricultural operation.
13. The system of claim 11 , wherein the at least one controller is configured to access location data associated with a location of the agricultural implement within the field and continuously monitor field traffic associated with the movement of the agricultural implement across the field during the performance of the agricultural operation, the at least one controller being configured to determine the one or more soil compaction levels for the field based at least in part on the field traffic.
14. The system of claim 13 , further comprising one or more location sensors communicatively coupled to the at least one controller, the at least one controller being configured to receive the location data from the one or more location sensors.
15. The system of claim 11 , wherein the at least one controller is configured to monitor a load applied to one or more of the plurality of ground-engaging tools during the performance of the agricultural operation and correlate the load applied to the one or more of the plurality of ground-engaging tools to a soil compaction level of the one or more soil compaction levels for the field.
16. The system of claim 11 , wherein the at least one controller is configured to determine the estimated yield loss at the plurality of different locations across the field by inputting the one or more soil compaction levels into a soil compaction model stored in a memory of the at least one controller and generating the estimated yield loss for each of the plurality of different locations across field via the soil compaction model.
17. The system of claim 15 , wherein the at least one controller is configured to correlate the load applied to the one or more of the plurality of ground-engaging tools to the soil compaction level based on a relationship between the load and a bulk soil density of the field.
18. The system of claim 11 , wherein plurality of ground-engaging tools of the agricultural implement comprise a plurality of shanks supported relative to the frame of the agricultural implement, the plurality of shanks being configured to penetrate into the field during the performance of the agricultural operation.
19. The system of claim 18 , wherein the prescription map prescribes penetration depths for the plurality of shanks at the plurality of different locations across the field and wherein the at least one controller is configured to actively adjust the at least one tillage parameter for the plurality of ground engaging tools by actively adjusting the penetration depths of the plurality of shanks based on the prescription map independent of other ground-engaging tools of the agricultural implement.
20. The system of claim 11 , wherein the at least one tillage parameter comprises at least one of a penetration depth for the plurality of ground-engaging tools, a distance of the plurality of ground-engaging tools from the ground, a down pressure associated with the plurality of ground-engaging tools, a spacing associated with the plurality of ground-engaging tools, or a point type associated with the plurality of ground-engaging tools.