An arrangement for data recording and sampling for an agricultural machine includes a sensor set-up arrangement to detect properties contained in a material stream, means of taking a sample of the material from the material stream, and an electronic control unit. The control unit is configured to perform the following steps in response to a tripping signal: (a) instruct an actuator to bring the means into a position for sampling; (b) starting a recording of raw sensor arrangement data in a memory; (c) after depositing the sample at a desired sampling location, stop recording the raw data and instruct the actuator to return the means from the sampling position to an inactive position; and (d) store identification data to identify the sample together with the raw data in memory.

A self-propelled forage harvester is disclosed that includes a blade sharpening and shear bar adjusting device, a monitoring device configured to cyclically generate information on the state of the cutterhead chopping glades and the distance of the shear bar to the cutting edge, and a control unit. The control unit evaluates the information provided by the monitoring device about the state of wear of the chopping blades and the distance, compares it with a limit value for the state of wear and/or the distance, where the limit value forms a lower limit for an optimum range to be maintained by the blade sharpening and shear bar adjusting device, of the instantaneous cutting sharpness of the chopping blades or of the distance and, when the limit value is reached, automatically triggers a sharpening process and/or of a shear bar adjustment by the blade sharpening and shear bar adjusting device.

An image capture device captures an image of crop after it has been processed by a kernel processing unit on a forage harvester. A size distribution indicative of the distribution of kernel fragment sizes in the harvested crop is identified from the image captured by the image capture device. A control system generates control signals to control a speed differential in the speed of rotation of kernel processing rollers based on the size distribution. Control signals can also be generated to control a size of a gap between the kernel processing rollers.

A detection arrangement for detecting a wear status of a chopping knife arrangement of a chopping device provided for processing a product flow, wherein the chopping device has a revolving chopping drum receiving the chopping knife arrangement and at least one shear bar which cooperates with the chopping knives, with a sensor arrangement which has a magnetic exciter arrangement and a flux conducting device magnetically coupled thereto. The sensor arrangement provides a pole arrangement which forms at least one magnetic pole with a pole surface for conducting magnetic flux, wherein at least a portion of the chopping knife passes the pole arrangement during a rotation of the chopping drum. A voltage induced when a chopping knife arrangement passes the sensor arrangement forms the measured magnetic value, which is used by the evaluation unit to determine the state of wear of the chopping knife arrangement.

An agricultural harvester has a frame and a spout that is mounted to the frame. A target landing point indicates a position in a receiving vehicle where material is intended to land. A control system detects an actual landing point and automatically controls the spout based on a difference between the actual landing point and the target landing point.

A method and a system for determining an indicator of processing quality of an agricultural harvested material using a mobile device is disclosed. A computing unit analyzes image data of a prepared sample of harvested material containing grain components and non-grain components in an analytical routine to determine the indicator of the processing quality of the agricultural harvested material. Further, the computing unit uses a trained machine learning model in the analytical routine to perform at least one step of determining the indicator of the processing quality of the agricultural harvested material.

A method and a system for determining an indicator of processing quality of an agricultural harvested material using a mobile device is disclosed. A computing unit analyzes image data of a prepared sample of harvested material containing grain components and non-grain components in an analytical routine to determine the indicator of the processing quality of the agricultural harvested material. Further, the computing unit uses a trained machine learning model in the analytical routine to perform at least one step of determining the indicator of the processing quality of the agricultural harvested material and that the computing unit adjusts at least one machine parameter of the forage harvester based on the indicator of processing quality.

A drive arrangement of a conditioning apparatus of a forage harvester having two conditioning rollers, with at least one of the conditioning rollers able to be driven at variable speed via an electrical drive train, includes an electric motor/generator for driving the conditioning roller. The electric motor/generator is able to be operated as a generator for braking the conditioning roller and to return the generated electrical energy into a drive system of the forage harvester.

Systems and methods for automatically establishing a gap between a concave and a rotor of a rotary crop processing system are disclosed. Establishing the gap may include displacing the concave towards the rotor until contact is detected therebetween. Contact may be detected using a sensor configured to detect contact between the rotor and the concave. The sensor may be a knock sensor. The concave is displaced away from the rotor when contact is detected until contact between the rotor and the concave is no longer detected. One or more actuators may be coupled to the concave to move the concave relative to the rotor. In some implementations, the actuators may be operated in sequence to form the gap between the rotor and the concave.

A process for weighing a harvested crop stored in a tank of a harvesting machine, a frame supporting the tank is mounted on a wheel set by a lifting device which is operable to move the frame upwardly and downwardly upon control of a hydraulic system. The process controlling the hydraulic system and includes the steps of: determining at least one height position of the frame on the displacement course; measuring a lowering pressure and a raising pressure in the hydraulic system at the position; calculating, from the measured pressures, a balancing pressure for the frame. The process is performed before unloading the stored crop in order to calculate a loaded balancing pressure and after the unloading in order to calculate an empty balancing pressure. The weight of the stored crop is calculated from a pressure variation between the loaded balancing pressure and the empty balancing pressure.