The invention relates to a method for predictively generating data for controlling a drive track and an operating sequence of an agricultural vehicle and of an agricultural machine, the method comprising the steps automatically detecting and storing vehicle and/or machine data through a sensor arrangement that is arranged at individual vehicles or individual machines for generating a vehicle and machine model; collecting and storing data regarding a three dimensional terrain topography and/or data regarding current and/or forecasted terrain properties and/or a weather condition for generating a predictive three dimensional geo referenced terrain model; optimizing imaging of the vehicle and machine model into the three dimensional predictive terrain model and computing drive track control data for defining a drive track and/or machine control data for controlling machine components; putting out and transmitting the drive track control data and/or the machine control data to a control unit of the agricultural vehicle and/or agricultural machine.

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.

A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Work vehicle axle device includes a wheel drive case utilizing a centrally disposed vertically extending first coupling portion, a centrally disposed vertically extending second coupling portion spaced from the first coupling portion and an input shaft located below an upper end of either the first or second coupling portions and being configured to transmit rotational power to wheels. The first and second coupling portions are configured to pivotally mount to the wheel drive case to a vehicle body of the work vehicle in a manner that allows the wheel drive case to pivot about an axis that, when viewed from above, is at least one of parallel to a front to back direction of the vehicle body and parallel to a centrally disposed front to back axis of the vehicle body.