Abstract: A method for determining an as-driven path of an agricultural work vehicle includes receiving position data indicative of a position of the agricultural work vehicle in a field during a first pass of the agricultural work vehicle in the field, receiving inertial movement data of the agricultural work vehicle during the first pass, and receiving operational data indicative of at least one of a steering angle of a wheel of the agricultural work vehicle, a wheel speed of the wheel of the agricultural work vehicle, or a transmission speed of the agricultural work vehicle during the first pass. Moreover, the method includes generating an as-driven path of the agricultural work vehicle during the first pass based at least in part on the position data, the inertial movement data, and the operational data. Additionally, the method includes performing a control action based on the as-driven path.

Abstract: A work vehicle includes a computing system is configured to access a swath line corresponding to a pass to be made across a field by the work vehicle. Furthermore, the computing system is configured to control the operation of the work vehicle such that the vehicle travels along the swath line to make the pass across the field. Additionally, the computing system is configured to determine an operating parameter of the work vehicle as the vehicle travels along the swath line. Moreover, the computing system is configured to adjust a portion of the swath line positioned forward of the work vehicle relative to a direction of travel of the vehicle based on the determined operating parameter as the vehicle travels along the swath line.

Abstract: A work vehicle includes a frame configured to support a plurality of components of the work vehicle. Furthermore, the work vehicle includes a location sensor configured to capture data indicative of a location of the work vehicle within a field. Additionally, the work vehicle includes a computing system communicatively coupled to the location sensor. The computing system is configured to control an operation of the plurality of components as the work vehicle makes a first pass across the field. Moreover, the computing system is configured to record a travel path of the work vehicle as the work vehicle make the first pass across the field based on data captured by the location sensor. In addition, the computing system is configured to generate a continuous swath line formed from a plurality of line segments such that the continuous swath line corresponds to the recorded travel path of the work vehicle.

Abstract: A work vehicle includes a location sensor configured to capture data indicative of a location of the work vehicle within a field. Additionally, the work vehicle includes a computing system communicatively coupled to the location sensor. In this respect, the computing system is configured to control an operation of the plurality of components as the work vehicle makes a pass across the field. Moreover, the computing system is configured to record a travel path of the work vehicle as the work vehicle makes the pass across the field based on data captured by the location sensor. In addition, the computing system is configured to analyze the recorded travel path to determine one or more geometric primitives of the recorded travel path. Furthermore, the computing system is configured to generate a swath line for the pass based on the determined one or more geometric primitives.

Abstract: A method for an agricultural operation can include presenting a captured image of a field on a display of an electronic device. The image can be captured by an imager operably coupled with the electronic device. The method can further include detecting a geographic position of the electronic device, an imager direction of the imager, and a tilt orientation of the electronic device. The method also can include determining a field of view based on the geographic position, the tilt orientation, and the imager direction. Further, the method can include identifying whether one or more portions of the field within the field of view is a processed segment of the field or an unprocessed segment of the field. Lastly, the method can include visually augmenting the captured image with graphics based at least in part on the identification of the one or more portions of the field.

Abstract: Systems and methods for operating an agricultural system are provided herein. The method can include presenting an image of a field on a display of an electronic device. The method can also include detecting a geographic position of the electronic device and an imager direction of the imager. In addition, the method can include determining a tilt orientation of the electronic device. The method can further include determining a field of view based on the geographic position, the tilt orientation, and the imager direction. The method can also include determining one or more features of an object within the image of the field and comparing the one or more features to stored feature data. Lastly, the method can include detecting a change in the one or more features of the object.

Abstract: Example landing platform systems and methods are described. In one implementation, a landing platform includes a top plate configured to support an unmanned aerial vehicle (UAV), where the top plate has a plurality of slots therethrough. A rotating plate is located adjacent the top plate and includes multiple centering pins extending therefrom and extending through the plurality of slots in the top plate. A motor is capable of rotating the rotating plate, which causes the multiple centering pins to center the UAV on the top plate.

Abstract: Embodiments provide methods and systems for removing temporal biases in classification tasks. Method performed by server system includes accessing a transaction graph associated with a particular time duration and determining a set of local features and aggregate features associated with each node based on labeled data. Method includes generating via a machine learning model, a set of intermediate node representations associated with each of the plurality of nodes based on the set of local features and the set of aggregate features. Method includes generating via a fraud model and a timestep model, a fraud classification loss, and a timestep classification loss based on the set of intermediate node representations. Method includes determining an adversarial loss value based on the fraud classification loss and the timestep classification loss. Method includes determining a set of optimized parameters for the machine learning model based on the adversarial loss value.

Abstract: A control system includes a controller configured to determine a target speed between a first target position of a haul vehicle relative to a harvester and a second target position of the haul vehicle relative to the harvester based on a flow rate of agricultural product through a conveyor of the harvester. The haul vehicle is coupled to a storage compartment, an outlet of the conveyor is aligned with a first unloading point within the storage compartment while the haul vehicle is positioned at the first target position, and the outlet of the conveyor is aligned with a second unloading point within the storage compartment while the haul vehicle is positioned at the second target position. Furthermore, the controller is configured to output a control signal indicative of instructions to direct the haul vehicle from the first target position to the second target position at the target speed.

Abstract: Identifying table joins includes obtaining respective casting similarities between pairs of columns of a first table and a second table. Each pair of columns includes a first column of the first table and a second column of the second table. Ones of the pairs of columns not satisfying a casting similarity condition are discarded to obtain first join candidates. Respective string similarities for the first join candidates are obtained. Ones of the first join candidates not satisfying a string similarity condition are discarded to obtain second join candidates. Final join candidates are obtained using the respective casting similarities and the respective string similarities of the second join candidates. A selected join candidate of the final join candidates is received from a user.

Abstract: Example moveable mounting structures and methods are described. In one implementation, an unmanned aerial vehicle (UAV) includes a body and a moveable mounting structure coupled to the body. The moveable mounting structure can move between a stowed position and a deployed position without interfering with a payload carried by the UAV. A camera is mounted to the moveable mounting structure.

Abstract: A control system includes one or more processing circuits comprising one or more memory devices coupled to one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to acquire speed data regarding current speeds of tractive elements of the vehicle from tractive element speed sensors of the vehicle, determine speed references for the tractive elements to perform autonomous driving operations where the speed references indicate speeds at which each of the tractive elements should rotate to accommodate the autonomous driving operations, and control at least one of a driveline or a brake system of the vehicle to selectively alter the current speeds of the tractive elements of the vehicle based on the current speeds and the speed references to accommodate the autonomous driving operations.

Abstract: A method for automatically adjusting the position of an implement of a lift assembly of a work vehicle includes determining a tilt transition boom angle for the lift assembly, determining a closed-loop control signal associated with controlling movement of the implement based at least in part on the tilt transition boom angle, generating a valve command signal based at least in part on the closed-loop control signal, and controlling an operation of at least one valve associated with the implement based at least in part on the valve command signal to maintain the implement at a target implement angle as a boom of the lift assembly is being moved across a boom travel range.

Abstract: A system for detecting the operating condition of components of an implement may include an implement, a first sensor comprising one of an acoustic sensor or a vision-based sensor, a second sensor comprising the other of the acoustic sensor or the vision-based sensor, and a controller communicatively coupled to the first and second sensors. The controller may receive performance data from the first sensor indicative of a performance of the implement. The controller may further monitor the performance data received from the first sensor and identify an area of interest relative to the implement. Additionally, the controller may control an operation of the second sensor to collect component data indicative of an operating condition of at least one component of the implement located within the area of interest.

Abstract: Example UAV landing systems and methods are described. In one implementation, a landing platform includes a conveyor belt capable of supporting an unmanned aerial vehicle (UAV). The conveyor belt can move in a first direction and a second direction that is opposite the first direction. The landing platform also includes a first positioning bumper and a second positioning bumper, where the first positioning bumper and the second positioning bumper are capable of repositioning the UAV on the conveyor belt. The landing platform further includes a cradle that can receive and secure the UAV.

Abstract: Methods and systems for capturing fine-grained workflow performance data, and generating user interfaces for analyzing such fine-grained workflow performance data to adjust operational parameters and assumptions within one or more nodes of an enterprise supply chain, are disclosed. A dataset including the time period spent on each scan-level event, a volume processed by the user during a particular task at the enterprise node, a total time spend on the plurality of events at the enterprise node, and a volume processed by enterprise node, is generated and used in such analyses.

Abstract: An agricultural system includes a target vehicle configured to harvest crops and a work vehicle. The work vehicle includes a controller. The controller includes a memory and a processor, and the controller is configured to receive or determine a plurality of vehicle paths as well as a location of the target vehicle. The controller is also configured to identify an active path of the plurality of vehicle paths based on the location of the target vehicle. The target path is a path traversed by the target vehicle.

Abstract: A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.

Abstract: An off-road vehicle includes a driveline, a control system, and a braking system. The driveline provides driveline power and driveline brake power to a first tractive assembly and/or a second tractive assembly. The control system stores vehicle information, determines driving instructions based on environment data, and determines speed references for tractive elements of the first and second tractive assemblies based on the driving instructions and the vehicle information. The braking system includes brakes and a braking subsystem. The brake subsystem operates the brakes to provide brake power to one or more components of the first and/or second tractive assemblies. The brake controller controls the brakes to selectively provide the brake power and the control system controls the driveline to selectively provide the driveline power and the driveline brake power based on current speeds of the tractive elements and the speed references to accommodate the driving instructions.

Abstract: A method for automatically adjusting the position of an implement of a lift assembly of a work vehicle includes determining a tilt transition boom angle for the lift assembly, determining a closed-loop control signal associated with controlling movement of the implement based at least in part on the tilt transition boom angle, generating a valve command signal based at least in part on the closed-loop control signal, and controlling an operation of at least one valve associated with the implement based at least in part on the valve command signal to maintain the implement at a target implement angle as a boom of the lift assembly is being moved across a boom travel range.