Abstract: In one aspect, a system for monitoring the condition of a seedbed within a field may include a seedbed tool configured to ride along a seedbed floor as an implement frame is moved across the field. The system may also include an actuator configured to adjust the position of the seedbed tool along a lateral direction relative to the implement frame such that the seedbed tool traverses a lateral swath of the seedbed floor along the lateral direction. Furthermore, the system may include a seedbed floor sensor configured to detect the position of the seedbed tool relative to the implement frame. The position of the seedbed tool may be indicative of a profile of the lateral swath of the seedbed floor as the seedbed tool rides along the seedbed floor with movement of the implement frame in the forward travel direction.

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 semantic segmentation 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 method for automatically leveling an agricultural implement being towed by a work vehicle includes monitoring a vehicle inclination angle via at least one vehicle-based sensor supported on the work vehicle, monitoring an implement inclination angle via at least one implement-based sensor supported on the implement, and determining that the work vehicle has begun to travel across an inclined surface based on the vehicle inclination angle. The method further includes initially adjusting a position of a hitch of the work vehicle in a first direction to maintain the implement inclination angle within a predetermined angular inclination range as the vehicle travels across the inclined surface and adjusting the position of the hitch in a second direction opposite the first direction to maintain the implement inclination angle within the predetermined angular inclination range.

Abstract: Systems and methods for real-time, artificial intelligence control of an agricultural work vehicle and/or implement based on observed outcomes are provided. In particular, example aspects of the present subject matter are directed to systems and method that sense field conditions (also known as field “finish”) both before and after adjustable ground-engaging tools encounter the soil and that update a site-specific control model that provides control settings based on the observed anterior and posterior conditions. Thus, a control system can obtain sensor data descriptive of upcoming field conditions and can perform predictive adjustment and control of tools based the upcoming field conditions. The system can then use additional sensors to observe the outcome of the employed control settings. Based on a comparison of the observed outcome to a target outcome, the system can adjust for the next encounter of similar field conditions.

Abstract: In one aspect, a system for monitoring the frame levelness of an agricultural implement may include an implement frame and first and second seedbed detection assemblies coupled to the implement frame. Each of the seedbed detection assemblies may include a seedbed tool configured to ride along a seedbed floor as the implement frame is moved across a field in a forward travel direction. Each of the seedbed detection assemblies may also include a seedbed floor sensor configured to capture data indicative of a position of the corresponding seedbed tool relative to the implement frame. Furthermore, the system may include a controller configured to monitor positions of the seedbed detection assemblies relative to the implement frame based on data received from the seedbed floor sensors of the first and second seedbed detection assemblies, respectively.

Abstract: A system for monitoring soil conditions within a field includes an agricultural implement including a frame and a ground-engaging tool coupled to the frame. The system further includes a first sensor coupled to the ground-engaging tool and configured to detect motion of the ground-engaging tool as the agricultural implement is moved across the field. The system additionally includes a second sensor separate from the first sensor. The second sensor is configured to detect an orientation of the ground-engaging tool relative to the frame as the agricultural implement is moved across the field. The system includes a controller communicatively coupled to the first and second sensors. The controller is configured to determine an indication of a soil condition at a given location within the field based at least in part on the detected motion and the detected orientation of the ground-engaging tool at the given location within the field.

Abstract: A system for monitoring soil conditions within a field includes an agricultural implement including a frame and a ganged tool assembly supported relative to the frame and including a toolbar coupled to the frame and a plurality of ground-engaging tools coupled to the toolbar. The system further includes a first sensor provided in operative association with the ganged tool assembly and configured to detect motion of the ganged tool assembly. The system further includes a second sensor separate from the first sensor configured to detect an orientation of the ganged tool assembly relative to at least one of the field or the frame. The system includes a controller communicatively coupled to the sensors and configured to determine an indication of a soil condition at a given location within the field based at least in part on the detected motion and orientation of the ganged tool assembly.

Abstract: A method for controlling the actuation of wing sections of an agricultural implement may include regulating a supply of hydraulic fluid to a wing actuator coupled to a wing section to pivot the wing section relative to a center frame section of the implement from a transport position towards a work position. The method may also include monitoring a wheel load associated with at least one wheel of the wing section as the wing section is being moved towards the work position and detecting when the wheel(s) of the wing section contacts the ground based at least in part on the monitored wheel load. In addition, the method may include adjusting one or more flow parameters of the supply of hydraulic fluid to the wing actuator to reduce an actuation rate at which the wing section is being pivoted after detecting that wheel(s) has contacted the ground.

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: A system for acquiring agricultural data includes a UAV with a controller and a sensing device is provided. In several embodiments, the controller is configured to receive data associated with a data collection point located within the field and control the operation of the UAV such that the UAV is flown over the field and lands in the field at the data collection point. The sensing device, in several embodiments, is configured to capture field condition data associated with the field while the UAV is maintained in a landed condition at the data collection point.

Abstract: Systems and methods for operating UAVs relative to a field includes a UAV are provided. In several embodiments, UAV includes a body, a controller supported on the body, and at least one support element coupled to and extending from the body. In several embodiments, the at least one support element is configured to support the body relative to a support surface of the field when the UAV is in a landed condition on the field. In several embodiments, at least one anchoring device is provided in operative association with the UAV and configured to penetrate through the support surface of the field to anchor the UAV relative to the field when the UAV is in the landed condition.

Abstract: A method for acquiring agricultural data using a UAV is provided. In several embodiments, the method includes receiving data associated with a data collection point located within a field and controlling an operation of the UAV such that the UAV is flown over the field and lands in the field at the data collection point. In such an embodiment, the method includes capturing field condition data associated with the field using a sensing device supported by the UAV. The field condition data is captured by the sensing device while the UAV is maintained in a landed condition at the data collection point.

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 towed implement, such as a cultivator is configured between an unfolded operational position and a folded transport position in which wing sections are pivoted about a vertical axis into a forward direction where they are alongside a telescoping tool bar. Sensors on the cultivator send signals initiating the folding/unfolding sequence to send commands through the implement controller to a tractor controller having a ISOBUS class 3 configuration. The tractor is commanded to forward and rearward movement in synchronism with the folding/unfolding process to steer wing supporting wheel assemblies toward the correct position for the intended transport direction.

Abstract: In one aspect, a system for rephasing fluid-driven actuators includes a plurality of fluid-driven actuators fluidly coupled together in series. A controller is configured to monitor a position differential existing between current positions of rods of the actuators relative to a differential threshold based on sensor measurements. The actuators are out-of-phase when the monitored differential exceeds the threshold. The controller is also configured to initiate a flow of fluid to the actuators to rephase the actuators when the monitored differential exceeds the threshold. The controller is further be configured to continue to monitor the differential following initiation of the flow of fluid to the actuators. Additionally, the controller is configured to implement a control action associated with terminating the rephasing of the actuators when the monitored differential remains constant after a first time period has elapsed following initiation of the flow of fluid.

Abstract: In one aspect, a system for determining field characteristics of a field across which an implement is being moved may include a tine configured to engage a surface of soil within the field. The system may also include a sensor configured to detect a parameter indicative of a load being applied to the ground engaging tine by the soil. Furthermore, the system may include a controller communicatively coupled to the sensor, with the controller being configured to determine a field characteristic of the field based on measurement signals received from the sensor.

Abstract: An agricultural implement including a frame, a hydraulic system, a controller and a plurality of sensors. The hydraulic system is coupled to the frame and has a plurality of hydraulic actuators fluidically coupled in a series arrangement. The controller is in control of the hydraulic system. The plurality of sensors have at least one sensor coupled to each of the plurality of hydraulic actuators. The sensors are in communication with the controller, with the controller executing the steps of receiving at least one signal from the sensors indicating a need to rephase the hydraulic actuators; and operating the hydraulic system to rephase the hydraulic actuators dependent upon the signal.

Abstract: The present disclosure provides systems and methods that measure soil roughness 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 clod detection model to determine a soil roughness 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: In one aspect, a method for reducing an overall transport profile of a multi-section tillage implement is disclosed. The tillage implement may include a frame including a center frame section and at least one wing frame section. The tillage implement may include a plurality of ground-engaging tools pivotally mounted to the frame. The method may include pivoting each of the plurality of ground-engaging tools away from the ground surface from a ground-engaging position to a retracted position. The frame may be disposed at an initial height relative to the ground surface before pivoting. After pivoting, the frame may be lowered to a transport height relative to the ground surface. At least one wing frame section may be folded relative to the center frame section from an operating position to a transport position to reduce a width of the tillage implement in the widthwise direction.