Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: In one aspect, a system for illuminating a field of view of a vision-based sensor mounted on an agricultural machine may include an agricultural machine having a vision-based sensor. The system may also include a light source configured to emit supplemental light to illuminate at least a portion of the field of view of the vision-based sensor. Furthermore, the system may include a controller communicatively the light source. The controller may configured to control an operation of the light source based on an input indicative of ambient light present within the field of view of the vision-based sensor.

Abstract: In one aspect, a system for adjusting a sampling rate of a sensor mounted on an agricultural machine may include an agricultural machine and a sensor mounted on the agricultural machine, with the sensor being configured to capture data at a sampling rate. The system may also include a controller communicatively coupled to the sensor. The controller may be configured to receive an input indicative of an operational parameter of the agricultural machine and adjust the sampling rate at which the sensor captures data based on the received input.

Abstract: The present disclosure provides systems and methods for adjusting the output of a field measurement system to conform to agronomy measurements. In particular, the present subject matter is directed to a calibration process and system that uses a calibration model to convert field measurement data expressed according to an automatic system metric into agronomy data that is expressed according to an agronomy metric.

Abstract: In one aspect, a system for monitoring sensor performance on an agricultural machine may include a controller configured to receive a plurality of images from the vision-based sensor mounted on an agricultural machine. The controller may be configured to determine an image parameter value associated with each of a plurality of pixels contained within each of the plurality of images. For each respective pixel of the plurality of pixels, the controller may be configured to determine a variance associated with the image parameter values for the respective pixel across the plurality of images. Furthermore, when the variance associated with the image parameter values for a given pixel of the plurality of pixels falls outside of a predetermined range, the controller may be configured to identify the given pixel as being at least one of obscured or inoperative.

Abstract: A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

Abstract: In one aspect, a system for illuminating a field of view of a vision-based sensor mounted on an agricultural machine may include an agricultural machine having a vision-based sensor. The system may also include a light source configured to emit supplemental light to illuminate at least a portion of the field of view of the vision-based sensor. Furthermore, the system may include a controller communicatively the light source. The controller may configured to control an operation of the light source based on an input indicative of ambient light present within the field of view of the vision-based sensor.

Abstract: The present disclosure provides systems and methods for adjusting the output of a field measurement system to conform to agronomy measurements. In particular, the present subject matter is directed to a calibration process and system that uses a calibration model to convert field measurement data expressed according to an automatic system metric into agronomy data that is expressed according to an agronomy metric.

Abstract: In one aspect, a system for adjusting a sampling rate of a sensor mounted on an agricultural machine may include an agricultural machine and a sensor mounted on the agricultural machine, with the sensor being configured to capture data at a sampling rate. The system may also include a controller communicatively coupled to the sensor. The controller may be configured to receive an input indicative of an operational parameter of the agricultural machine and adjust the sampling rate at which the sensor captures data based on the received input.

Abstract: In one aspect, a system for monitoring sensor performance on an agricultural machine may include a controller configured to receive a plurality of images from the vision-based sensor mounted on an agricultural machine. The controller may be configured to determine an image parameter value associated with each of a plurality of pixels contained within each of the plurality of images. For each respective pixel of the plurality of pixels, the controller may be configured to determine a variance associated with the image parameter values for the respective pixel across the plurality of images. Furthermore, when the variance associated with the image parameter values for a given pixel of the plurality of pixels falls outside of a predetermined range, the controller may be configured to identify the given pixel as being at least one of obscured or inoperative.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: A system has an algorithm for organizing the actions of agricultural machines and servicing vehicles in a field. The algorithm divides the field into logical chunks of work, including at least one swath within at least one headland and within at least one land, which it then assigns to the agricultural machines in order. Priority is first given to working the headlands, then to working swaths within lands where an agricultural machine can perform its function while remaining accessible to the servicing vehicles. When the agricultural machine is in an area where it is not accessible to a servicing vehicle and needs service, the agricultural machine creates an impromptu servicing area. This may be an area within a swath that the agricultural machine has cleared of crops in order to provide the servicing vehicle, such as a haul vehicle or grain cart, access to the agricultural machine and space to turn around.

Abstract: A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

Abstract: A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

Abstract: A control system for an off-road vehicle configured to traverse an off-road vehicle through a field by determining whether a partial row exist or contour differences exist between opposite edges if a route of traversal is used. If a partial row or a contour difference exist adjust the route to increase overlap of rows of the off-road vehicle to distribute the width of the field evenly among the rows or incrementally adjust each row from a first contour of a first edge to a second contour of a second edge.

Abstract: A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

Abstract: A control system for an off-road vehicle configured to traverse an off-road vehicle through a field by determining whether a partial row exist or contour differences exist between opposite edges if a route of traversal is used. If a partial row or a contour difference exist adjust the route to increase overlap of rows of the off-road vehicle to distribute the width of the field evenly among the rows or incrementally adjust each row from a first contour of a first edge to a second contour of a second edge.