Abstract: This disclosure relates to a method and device for the operation of a combine harvester with multiple work elements for harvesting a crop via a driver assistance system. In one example implementation, a method for operating such a combine harvester includes determining separately a harvest setting for the crop and a machine configuration of the combine harvester, preselecting a process control strategy among a plurality of process control strategies based on the harvest setting and machine configuration wherein each of the plurality of process control strategies is aimed at fulfillment of at least one harvesting quality criterion stored in the memory of the combine harvester, and automatically determining at least one machine parameter for the work elements of the combine harvester according to the preselected process control strategy and controlling the work elements corresponding to the at least one machine parameter.

Abstract: A forage harvester has multiple working elements for carrying out a crop handling process, a drive system which is divided into a main drive train that includes mechanically driven working elements, and an auxiliary drive train that includes hydraulically driven working elements, a driver assistance system which comprises a memory for storing data and a computing device for processing data stored in the memory, as well as a graphical user interface. The working elements consist of at least one adjustable crop handler, at least one actuator system for adjusting and/or actuating the crop handler, and a control unit for controlling the actuator system. The working element is designed as an automatic adjuster whose mode of operation can be optimized by the driver assistance system. The driver assistance system feeds a throughput-proportional load signal, which can be determined by at least one sensor system, to the particular automatic adjuster.

Abstract: An agricultural work machine for performing an agricultural work process is disclosed. The agricultural work machine includes working units and a driver assistance system for controlling the working units to achieve one or more quality criteria. The driver assistance system may set parameters to control the working units in order to satisfy the criteria. Further, the driver assistance system includes a graphical user interface through which an operator may change the setting of one of the quality criteria. Responsive to the change, the driver assistance system may determine the expected effects on other quality criteria. In addition, the driver assistance system may visually highlight the expected effects on the graphical user interface.

Abstract: A self-propelled forage harvester is disclosed. The forage harvester includes a feed device, a chopping device comprising a cutterhead equipped with cutting blades and a shear bar for comminuting harvested material, a drive, and a driver assistance system for controlling at least the chopping device. The driver assistance system includes a memory for saving data and a computing device for processing the data saved in the memory, wherein the chopping device and the driver assistance system in combination form an automatic chopping system in that the computing device continuously determines a compaction of the comminuted harvested material using harvested material parameters during a harvesting process in order to autonomously ascertain and specify a cutting length to be adapted for maintaining nearly constant compactability.

Abstract: A combine harvester which regulates spreading of crop flow on the ground, with the crop flow passing through a shredding and/or a spreading device in the rear region of the combine harvester, is disclosed. The combine harvester includes a driver assistance system, which includes a computing unit and a display unit. The computing unit processes information generated by the machine's internal sensor systems, external information and information storable in the computing unit. The driver assistance system stores selectable spreading strategies to regulate the spreading of the crop flow exiting the combine harvester and one or more of the partial strategies assigned to the respective spreading strategy. The driver assistance system uses the selectable spreading strategies and the partial strategies in order to regulate the crop flow spread on the ground.

Abstract: A forage harvester comprising an edge sharpness detection device for detecting a degree of edge sharpness of a cutting mechanism is disclosed. The cutting mechanism comminutes a stream of harvested material, with a material inflow area being defined where the cutting blades interact with the shear bar to comminute the harvested material. The edge sharpness detection device excites one or more magnetic circuits, with the respective magnetic circuit being closed by the respective cutting blade during rotation of the cutter drum once one of the cutting blades passes the magnetic assembly (positioned outside of the material inflow area). The edge sharpness detection device detects the magnetic flux in the respective magnetic circuit and, based on a detected change, determines a degree of edge sharpness of the respective cutting blade. Further, the magnetic flux of the magnetic circuit may be guided lengthwise in the cutting blade at least along a longitudinal section of the respective cutting blade.

Abstract: A method for determining calibration data for a grain-loss sensor on a combine harvester includes measuring grain-loss quantities, which were left behind by the combine harvester during a harvesting operation, and measuring sensor grain-loss values by the grain-loss sensor during the harvesting operation. Reference marks are assigned to the measured grain-loss quantities and the measured sensor grain-loss values and the calibration data for the grain-loss sensor are determined on the basis of a reconciliation of the measured grain-loss quantities with the measured sensor grain-loss values according to the reference marks.

Abstract: A combine harvester includes a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system, with a memory for storing data, for controlling the threshing unit, and a computing unit for processing at least the data stored in the memory. A sensor system ascertains at least a portion of the current harvesting-process state. A sensor configuration assigned to the sensor system is defined by the type and scope of operational sensors is stored or can be stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of a threshing-unit parameter based on the system model, and defines the system model forming a basis of the control of the threshing unit depending on the sensor configuration stored in the memory.

Abstract: An agricultural work machine for processing an agricultural work process, having numerous working units (1-5) and having a driver assistance system (10) for controlling the working units (1-5) according to at least one user-side specifiable work process strategy (A), which is aimed at fulfilling at least one quality criterion (Q), wherein the driver assistance system (10) comprises a memory (11) for storing data, and a computing device (12) for processing the data stored in the memory (11), wherein the driver assistance system (10) has a graphical user interface (14), via which at least a portion of the work process strategy (A) can be specified by a user. It is proposed that competing quality criteria (Q) that are weighted in relation to one another in accordance with a weighting variable (G) are entered into the work process strategy (A), and that the weighting variable (G) is visualized and can be specified by a user via a virtual operating element (16-19) of the graphical user interface (14).

Abstract: A combine harvester having a chopper configured for chopping crop, which comprises a cutting cylinder fitted with chopper knives, a knife carrier fitted with counter knives, and a rasp bar arrangement. The counter knives and/or the rasp bar arrangement can be moved into a partial stream passing by the chopper. The harvester also has a crop spreading device configured for spreading the chopped-material stream emerging from the combine harvester on the ground in the rear region of the combine harvester, and a sensor unit configured for generating sensor data which represent at least one parameter influencing the spreading quality of the chopped-material stream emerging from the combine harvester. There is a control unit that adapts the position of the rasp bar arrangement and/or the counter knives depending on the spreading quality.

Abstract: A combine harvester which regulates spreading of crop flow on the ground, with the crop flow passing through a shredding and/or a spreading device in the rear region of the combine harvester, is disclosed. The combine harvester includes a driver assistance system, which includes a computing unit and a display unit. The computing unit processes information generated by the machine's internal sensor systems, external information and information storable in the computing unit. The driver assistance system stores selectable spreading strategies to regulate the spreading of the crop flow exiting the combine harvester and one or more of the partial strategies assigned to the respective spreading strategy. The driver assistance system uses the selectable spreading strategies and the partial strategies in order to regulate the crop flow spread on the ground.

Abstract: An agricultural harvesting machine has a header designed as a front attachment for cutting and picking up crop and a driver assistance system for controlling the header. The driver assistance system has a memory for storing data and a computing unit for processing the data stored in the memory. The header together with the driver assistance system forms an automated header, in that a plurality of selectable harvesting-process strategies is stored in the memory and in order to implement a selected harvesting-process strategy or the selected harvesting-process strategies, the computing device autonomously determines at least one machine parameter, a header parameter and specifies this to the header.

Abstract: A self-propelled harvesting machine such as a combine harvester has multiple working units for processing crop picked up from a field, a driver assistance system for the sensor-supported control of the working units, an environmental sensor system for detecting environmental information and spatial areas of applicability located in the environment of the harvesting machine. The driver assistance system has a memory for storing data and a computing unit for processing data, including the data stored in the memory. A functional system model for at least one part of the harvesting machine is stored in the memory. The computing unit functions as a characteristic control on the basis of the system model and autonomously determines machine parameters of at least one working unit and specifies these to the particular working unit.

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system for controlling the threshing unit which has a memory for storing data and a computing unit for processing the data stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of at least one threshing-unit parameter on a basis of the system model and, for depicting functional interrelationships, at least one family of characteristics (A-J) is assigned to at least one harvesting-process parameter. The at least one harvesting-process parameter is defined as an output variable of the at least one family of characteristics (A-J).

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain and a driver assistance system for controlling the threshing unit. The driver assistance system includes a memory for storing data and a computing unit for processing the data stored in the memory. The threshing unit, together with the driver assistance system, forms an automated threshing unit, in that a plurality of selectable harvesting-process strategies is stored in the memory and in that, in order to implement the particular selected harvesting-process strategy, the computing device autonomously determines at least one machine parameter, for example, a threshing-unit parameter, and specifies the parameter to the threshing unit.

Abstract: This disclosure relates to a method and device for the operation of a combine harvester with multiple work elements for harvesting a crop via a driver assistance system. In one example implementation, a method for operating such a combine harvester includes determining separately a harvest setting for the crop and a machine configuration of the combine harvester, preselecting a process control strategy among a plurality of process control strategies based on the harvest setting and machine configuration wherein each of the plurality of process control strategies is aimed at fulfillment of at least one harvesting quality criterion stored in the memory of the combine harvester, and automatically determining at least one machine parameter for the work elements of the combine harvester according to the preselected process control strategy and controlling the work elements corresponding to the at least one machine parameter.

Abstract: An agricultural work machine for processing an agricultural work process, having numerous working units (1-5) and having a driver assistance system (10) for controlling the working units (1-5) according to at least one user-side specifiable work process strategy (A), which is aimed at fulfilling at least one quality criterion (Q), wherein the driver assistance system (10) comprises a memory (11) for storing data, and a computing device (12) for processing the data stored in the memory (11), wherein the driver assistance system (10) has a graphical user interface (14), via which at least a portion of the work process strategy (A) can be specified by a user. It is proposed that competing quality criteria (Q) that are weighted in relation to one another in accordance with a weighting variable (G) are entered into the work process strategy (A), and that the weighting variable (G) is visualized and can be specified by a user via a virtual operating element (16-19) of the graphical user interface (14).

Abstract: An agricultural harvesting machine has a header designed as a front attachment for cutting and picking up crop and a driver assistance system for controlling the header. The driver assistance system has a memory for storing data and a computing unit for processing the data stored in the memory. The header together with the driver assistance system forms an automated header, in that a plurality of selectable harvesting-process strategies is stored in the memory and in order to implement a selected harvesting-process strategy or the selected harvesting-process strategies, the computing device autonomously determines at least one machine parameter, a header parameter and specifies this to the header.

Abstract: A combine harvester includes a driver assistance system that regulates a spreading on the ground of a crop flow exiting the combine harvester. The driver assistance system includes spreading strategies that can be selected in order to regulate the spreading of the crop flow exiting the combine harvester.

Abstract: A self-propelled harvesting machine such as a combine harvester has multiple working units for processing crop picked up from a field, a driver assistance system for the sensor-supported control of the working units, an environmental sensor system for detecting environmental information and spatial areas of applicability located in the environment of the harvesting machine. The driver assistance system has a memory for storing data and a computing unit for processing data, including the data stored in the memory. A functional system model for at least one part of the harvesting machine is stored in the memory. The computing unit functions as a characteristic control on the basis of the system model and autonomously determines machine parameters of at least one working unit and specifies these to the particular working unit.