In one aspect, a system for controlling the operation of a seed-planting implement may include a furrow-forming tool configured to form a furrow in soil present within a field. Furthermore, the system may include a sensor configured to capture data indicative of a topographical profile of the soil within the field. Additionally, a controller of the disclosed system may be configured to identify a topographical feature within the field based on the data received from the sensor. Furthermore, the controller may be configured to determine a position of the furrow-forming tool relative to the identified topographical feature. Additionally, the controller may be configured to initiate a control action to adjust the position of the furrow-forming tool when it is determined that the relative position between the furrow-forming tool and the identified topographical feature is offset from a predetermined positional relationship defined for the furrow-forming tool.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

An agricultural vehicle-trailer combination includes a traction module including a drive element for engaging in a ground, a working appliance coupled to the traction module by a coupling apparatus, and a folding axle supporting the working appliance relative to the ground at least during a transport mode. A slewing mechanism of the coupling apparatus provides a degree of freedom of rotation between the traction module and the working appliance along a longitudinal axis of the working appliance. A pivot joint provides a degree of freedom of pivoting between the traction module and the working appliance along a vertical axis of the traction module. The pivot joint is adjustable relative to its pivot angle by a steering actuator for influencing the direction of travel of the vehicle-trailer combination.

Systems and methods are disclosed herein for displaying images of certain surroundings of an agricultural implement, for example one including a frame extending between opposing distal ends of a length transverse to a working direction of the agricultural implement. Individual image regions of the surroundings of the agricultural implement are captured using cameras arranged on the agricultural implement and directed toward a working area in the working direction, wherein a corresponding display is generated on a user interface. One or more traveling conditions (e.g., an edge of the working area and/or an edge of the frame, respectively corresponding to a first end and/or second end of the frame) may be automatically projected in the working direction, wherein respective indicia corresponding to the projected traveling conditions are superimposed on the generated display. The indicia may optionally be modified dynamically based on determined changes in a projected course of the working direction.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

A yaw rate is sensed on a towing vehicle that is towing an air seeder. The sensed yaw rate is used to predict a future yaw rate on a planting implement of the air seeder. An application rate of material is varied across the application implement based upon the predicted yaw rate across the implement.

A machine control system for an agricultural operation includes sensors mounted on the machine and providing output signals corresponding to machine operations. A roll-up reporting function produces reports of machine operation, and status. The system can be programmed for providing such reports a predetermined intervals, e.g., at the start of each work day. A portion control method embodying the present invention includes the steps of: providing sensors on an agricultural machine; outputting from the sensors signals corresponding to machine operations; roll-up reporting of the machine operations; and comparing the operational report to a work order for the machine.

In accordance with an example embodiment, a vehicle path planning system and a method for planning a path of a vehicle having a work tool are provided. The method includes determining an actual path through a work area, modifying the actual path with a margin to determine a modified path plan through the work area, and passing the work tool through the work area with the vehicle along the modified path plan.

A self-propelled work vehicle is provided with systems and methods for communicating the presence of nearby objects to an operator. A horizontally rotatable machine frame supports a work implement which is further vertically rotatable. Various object sensors are each configured to generate object signals representative of detected objects in respective fields of vision. A controller determines a working area for the work vehicle, corresponding at least to a swing radius of the machine frame and optionally further to a swing radius of the work implement at a given orientation and/or angle of rotation. The controller determines positions of each detected object relative to the machine frame based on the object signals and known positions of the respective object sensors, and generates output signals based on the determined object positions with respect to the working area. The output signals may facilitate vehicle interventions, and/or visual alerts corresponding to bird's eye displays.

An agricultural implement comprising: a ground engaging tool; and an actuator mechanism (366; 466; 566). The actuator mechanism is configured to provide a bias force to the ground engaging tool such that it is biased towards a working position. The agricultural implement also includes a controller that is configured to automatically set the level of the bias force that is provided by the actuator mechanism based on control-data.