Abstract: A driver assistance system of an agricultural harvesting machine with a harvesting header designed as a draper is disclosed. The driver assistance system comprises a memory for storing data and a computing device for processing the data saved in the memory. The draper comprises a central belt and at least one transverse conveyor belt arranged on the left side and the right side of the central belt for conveying the harvested material to the central belt. The draper forms, together with the driver assistance system, an automatic draper. The computing device operates the automatic draper as a characteristic diagram controller using the saved characteristic diagrams, with the automatic draper optimizing operating parameters of the draper and specifying the optimized operating parameters for the draper. The characteristic diagrams describe the relationship between the operating parameters and quality parameters, and a control characteristic curve is assigned to the particular characteristic diagram.

Abstract: An agricultural work machine comprising a driver assistance system. The driver assistance system is configured to automatically optimize and adjust work parameters and quality parameters of the agricultural work machine. The driver assistance system is assigned a process model comprising characteristic maps such that an optimization method implemented by the driver assistance system comprises a characteristic map control generating optimized work parameters as a control variable. The driver assistance system determines the quality parameters of the agricultural work machine depending on the optimized work parameters. The process model comprises a basic process model and an affine output layer assigned thereto, forming submodels.

Abstract: A driver assistance system for an agricultural work machine. The driver assistance system includes at least one control and regulation device, which is configured for an optimization process of work parameter and/or quality parameters of the agricultural working machine using performance maps saved therein. The optimization process is performed by specifying a process control strategy selectable by an operator. The driver assistance system is configured to detect a conflict of objectives during the execution of the optimization process and to interact with an operator of the agricultural work machine in order to resolve the conflict of objectives.

Abstract: A combine harvester. The combine harvester includes a plurality of working units and a driver assistance system for controlling the working units. The driver assistance system comprises a memory for saving data and a computing device for processing the data saved in the memory. The working units and the driver assistance system form a setting machine in that a plurality of selectable harvesting process strategies are saved in the memory, and in that the computing device autonomously determines at least one setting parameter for the implementation of the selected harvesting process strategy and specifies it to the working units. An overall model per target variable is saved in the memory and forms functional relationships between the target variable and a plurality of influencing variables, which comprise internal and external influencing variables. The computing device performs the autonomous determination of the at least one setting parameter based on the overall model.

Abstract: An agricultural work machine with at least one control and regulation device. The control and regulation device is configured to activate defined measuring points in saved characteristic curve fields, wherein the defined measuring points are located in the edge regions of the characteristic curve field and/or outside an active operating region of the given characteristic curve field. Further, the measuring points may be activated when the agricultural work machine is in an uncritical state.

Abstract: A method for operating a self-propelled agricultural harvester with a cutting unit and a self-propelled agricultural harvester are disclosed. A driver assistance system associated with the agricultural harvester includes a memory that saves data and a computing unit for processing data saved in the memory. The driver assistance system and the cutting unit form an automated cutting unit. A harvesting process strategy is selected from a plurality of harvesting process strategies saved in the memory and at least one cutting unit parameter is selected. The at least one cutting unit parameter may be determined autonomously by the computing unit to implement the at least one selected harvesting process strategy and may be specified to the cutting unit.

Abstract: A self-propelled agricultural harvester. A harvester, such as a forage harvester, may comprise a machine frame, a transfer device mounted on the machine frame for transferring processed harvested material to a transport vehicle, and a hydraulic actuator connected to the transfer device. Using the hydraulic actuator, the transfer device may be rotated about a horizontal axis of rotation relative to the machine frame, and thereby a position of an end outlet of the transfer device may be changed. To reduce the vibration of the transfer device, a control and regulating device regulates vibration behavior of the transfer device to dampen vibrations of the transfer device. The control and regulating device determines a manipulated variable for controlling a proportional valve, which is operatively connected to the hydraulic actuator and is designed to adjust a volume flow of hydraulic fluid to the hydraulic actuator, for damping the vibrations of the transfer device.

Abstract: An agricultural work machine and a method for operation an agricultural work machine are disclosed. The agricultural work machine includes a driver's cab with an interior space spatially partially delimited by a front window and at least one side window, a driver's seat arranged in the interior space, an input device for entering input by an operator, a visualization system for visualizing information for an operator sitting on the driver's seat, and a control device which is communication with the visualization system. The control device controls the visualization system in such a way that process information relevant to the selected work process is visualized.

Abstract: A driver assistance system of an agricultural harvesting machine with a harvesting header designed as a draper is disclosed. The driver assistance system comprises a memory for storing data and a computing device for processing the data saved in the memory. The draper comprises a central belt and at least one transverse conveyor belt arranged on the left side and the right side of the central belt for conveying the harvested material to the central belt. The draper forms, together with the driver assistance system, an automatic draper. The computing device operates the automatic draper as a characteristic diagram controller using the saved characteristic diagrams, with the automatic draper optimizing operating parameters of the draper and specifying the optimized operating parameters for the draper. The characteristic diagrams describe the relationship between the operating parameters and quality parameters, and a control characteristic curve is assigned to the particular characteristic diagram.

Abstract: A self-propelled agricultural working machine. The self-propelled agricultural working machine includes working units for collecting, processing and forwarding harvested material of a crop, a drive motor for driving the working units and propelling the self-propelled agricultural work machine at a travel speed, a camera device for capturing a digital image of the crop. A processor determines the available proportion of the harvested material based on the digital image and automatically adjusts the self-propelled agricultural work machine based thereon, including automatically adjusting the working units and/or the travel speed.

Abstract: An agricultural work machine comprising a driver assistance system. The driver assistance system is configured to automatically monitor and set work parameters and quality parameters of the agricultural work machine and is assigned a process model comprising performance maps. The optimization method implemented by the driver assistance system is designed as a map control and generates optimized work parameters as manipulated variables. The driver assistance system determines the quality parameters of the agricultural work machine depending on the optimized work parameters. The process model comprises a dynamic non-linear process model in such a way to comprises a static process model component and a dynamic process model component. At least the manipulated variables in the static process model component execute through an optimization step and, in the dynamic process model component, through a control loop structure.

Abstract: A sensor system for counting elements of a flow of harvested material. The sensor system comprises an oscillating circuit and a measuring device, wherein the oscillating circuit comprises at least one capacitive component with a capacitance and an inductive component with an inductance. The oscillating circuit has a resonance frequency which depends on the capacitance and the inductance. Further, the capacitive component is positioned in the region of the flow of harvested material, so that the capacitance is influenced by individual elements of the flow of harvested material. The measuring device is configured to determine the resonance frequency of the oscillating circuit. In this way, the sensor system is configured to deduce at least one property of the particular element of the flow of harvested material from the resonance frequency of the oscillating circuit.

Abstract: An agricultural harvesting machine having a cutting unit for cutting harvested material and a driver assistance system is disclosed. The driver assistance system includes a memory in which control strategies for the operation of the cutting unit are stored and a computing device for controlling a cutting angle of the cutting unit in accordance with the control strategies. The computing device is configured to link first and second control strategy to one another via a weighting variable, with the weighting variable being adjustable by a driver. The driver assistance system uses at least one of the control strategies and sensed forefield information to automatically determine the cutting angle of the cutting unit and to automatically control the cutting unit based on the determined cutting angle.

Abstract: A method and system for the optimized determination of machine parameters of an agricultural production machine is disclosed. The agricultural production machine has a driver assistance system and a sensor assembly and performs an agricultural task in a local context. A determination routine the driver assistance system uses the strategy specifications as input parameters of the instruction for use to determine the optimized machine parameters optimized with respect to the strategy specifications as output parameters of the instruction for use, wherein the strategy is parameterized with initial strategy parameters at the beginning of the execution of the agricultural task. The driver assistance system uses strategy parameters as the initial strategy parameters that have already been optimized by at least one agricultural production machine in a similar local context.

Abstract: An agricultural harvester is disclosed. The agricultural harvester includes a cutting unit that has a cutting table adjustable in its cutting table length, a reel adjustable to a reel vertical position and reel longitudinal position, an inclined conveyor downstream from the cutting unit, and a driver assistance system. The driver assistance system autonomously determines, using at least one input variable, at least one machine parameter and specifies the machine parameter to the cutting unit. The machine parameter can include one or more of the cutting table length, the reel vertical position, or the reel longitudinal position. In particular, the driver assistance system may determine a harvested material throughput and a vibration coefficient describing the fluctuation in the harvested material throughput in a region lying in front of the threshing system and adapt or modify the cutting table length based on the determined vibration coefficient.

Abstract: An agricultural work machine and a method for operation an agricultural work machine are disclosed. The agricultural work machine includes a driver’s cab with an interior space spatially partially delimited by a front window and at least one side window, a driver’s seat arranged in the interior space, an input device for entering input by an operator, a visualization system for visualizing information for an operator sitting on the driver’s seat, and a control device which is communication with the visualization system. The control device controls the visualization system in such a way that process information relevant to the selected work process is visualized.

Abstract: An agricultural production machine comprising a characteristic diagram control is disclosed. The characteristic diagram control comprises one or more characteristic diagrams. Each characteristic diagram is configured to optimize operating parameters of the process units of the agricultural production machine. The particular characteristic diagram is designed as an initial characteristic diagram. In the initial characteristic diagram, at least the relationship between operating parameters of a process unit and quality parameters is described by initial operating points. A control characteristic curve is associated with the particular characteristic diagram, and the control characteristic curve lies around the minimum or maximum of the particular quality parameter.

Abstract: A driver assistance system of an agricultural harvesting machine with a harvesting header designed as a draper is disclosed. The driver assistance system comprises a memory for storing data and a computing device for processing the data saved in the memory. The draper comprises a central belt and at least one transverse conveyor belt arranged on the left side and the right side of the central belt for conveying the harvested material to the central belt. The draper forms, together with the driver assistance system, an automatic draper. The computing device operates the automatic draper as a characteristic diagram controller using the saved characteristic diagrams, with the automatic draper optimizing operating parameters of the draper and specifying the optimized operating parameters for the draper. The characteristic diagrams describe the relationship between the operating parameters and quality parameters, and a control characteristic curve is assigned to the particular characteristic diagram.

Abstract: A driver assistance system of an agricultural harvesting machine with a harvesting header designed as a draper is disclosed. The driver assistance system comprises a memory for storing data and a computing device for processing the data saved in the memory. The draper comprises a central belt and at least one transverse conveyor belt arranged on the left side and the right side of the central belt for conveying the harvested material to the central belt. The draper forms, together with the driver assistance system, an automatic draper. The computing device operates the automatic draper as a characteristic diagram controller using the saved characteristic diagrams, with the automatic draper optimizing operating parameters of the draper and specifying the optimized operating parameters for the draper. The characteristic diagrams describe the relationship between the operating parameters and quality parameters, and a control characteristic curve is assigned to the particular characteristic diagram.

Abstract: A method for executing an agricultural work process on a field by means of a group of agricultural work machines. The work machines each have work assemblies which are adjustable with machine parameters for adapting to the respective agricultural conditions. The work machines of the group communicate with one another via a wireless network. The work machines of the group are configured as self-optimizing work machines which each have a driver assistance system for generating and adjusting machine parameters in an automated manner. These machine parameters are optimized with respect to the agricultural conditions. The work machines of the group cooperate collectively in the manner of a virtual work machine.