Abstract: The present disclosure provides systems and methods that measure crop residue in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned convolutional neural network to determine a level of crop residue for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

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: The present disclosure provides systems and methods that measure crop residue in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned crop residue classification model to determine a crop residue parameter value for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

Abstract: A system includes a scouting vehicle. The scouting vehicle includes a spatial location system configured to derive a geographic position of the scouting vehicle. The scouting vehicle further includes a computing device communicatively coupled to the spatial location system and to a communication system, the computing device comprising a processor configured to create a shape on a map based on a drive of the scouting vehicle. The scouting vehicle also includes the communication system configured to transmit the geographic position, a recording of the drive, the shape, or a combination thereof, to a base station.

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: The present invention is related to a method for harvesting crops from a field and to a method for working a field by towing an apparatus such as a tilling apparatus, wherein the methods of the invention employ manned and unmanned vehicles. The operation and movement of the unmanned vehicles is controlled by the drivers of the manned vehicles which are continuously in the vicinity of the unmanned vehicles.

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: An agricultural harvester discharge guide includes a porous apparatus adapted for mounting to a discharge end of the agricultural harvester for guiding crop residue discharged from the agricultural harvester.

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 slip control system for an off-road vehicle includes a control system configured to output a signal indicative of a first action if a magnitude of slippage of the off-road vehicle relative to a soil surface is greater than a first threshold value and less than or equal to a second threshold value. Furthermore, the control system is configured to output a signal indicative of a second action, different than the first action, if the magnitude of slippage is greater than the second threshold value.

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 slip control system for an off-road vehicle includes a control system configured to output a signal indicative of a first action if a magnitude of slippage of the off-road vehicle relative to a soil surface is greater than a first threshold value and less than or equal to a second threshold value. Furthermore, the control system is configured to output a signal indicative of a second action, different than the first action, if the magnitude of slippage is greater than the second threshold value.

Abstract: A method for controlling an off-road vehicle includes selecting an operating mode from a plurality of candidate operating modes. The plurality of candidate operating modes includes a first operating mode that includes substantially maintaining a first desired vehicle speed of the off-road vehicle; a second operating mode that includes substantially maintaining a first desired gear ratio of the transmission and substantially maintaining a first desired engine speed of the engine; a third operating mode that includes substantially maintaining a second desired vehicle speed of the off-road vehicle and substantially maintaining a second desired engine speed of the engine; and a fourth operating mode that includes substantially maintaining a third desired gear ratio of the transmission and substantially maintaining a third desired vehicle speed of the off-road vehicle.

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 system for tracking a harvested agricultural product unit includes a magazine configured to be disposed on an agricultural implement and to facilitate insertion of one or more stakes into the harvested agricultural product unit. The magazine is also configured to store the one or more stakes having a radio frequency identification (RFID) tag. The RFID tag is configured to identify the harvested agricultural product unit and to associate the harvested agricultural product unit with harvesting data. Further, the system includes an insertion device configured to insert one of the stakes from the magazine into the harvested agricultural product unit.

Abstract: A method for estimating and adjusting crop residue parameters may include controlling an operation of a tillage implement as the implement is being towed by a work vehicle across the field to perform a tillage operation and receiving a pre-tilled image of an imaged portion of the field located to one side of a first section of the field as the implement is being towed across the first section of the field. The method may also include receiving a post-tilled image of the imaged portion of the field as the implement is being towed across the field, analyzing the pre-tilled and post-tilled images of the imaged portion of the field to estimate a crop residue parameter for the field, and, when the estimated parameter differs from a target associated with such parameter, actively adjusting the operation of the tillage implement in a manner designed to adjust the crop residue parameter.

Abstract: An agricultural implement includes a first storage container mounted on a frame of the agricultural implement and configured to store a solid particulate agricultural product and a second storage container mounted on the frame and configured to store a liquid. The agricultural implement also includes at least one arm configured to extend laterally outward from the frame, and each of the at least one arms has at least one first nozzle for distributing the solid particulate agricultural product and at least one second nozzle for distributing the liquid. An air metering system includes an auger assembly configured to meter the solid particulate agricultural product from the first storage container into a pneumatic distribution hose, and an air flow in the pneumatic distribution hose is configured to transfer the solid particulate agricultural product toward the at least one first nozzle as the agricultural implement travels across a field.