A harvesting machine includes a cutter head having a cutter bar for cutting crop from a ground surface and a rotatable reel located above the cutter bar. Reel arms of the reel each include a plurality of fingers thereon to engage the crop. The cutter head also has an actuator configured to adjust a pitch of the fingers with respect to the reel arms. A controller is operably connected with the cutter head and is configured to receive an input on a cutter head posture relative to the ground surface, with the input on the posture of the cutter head including one or more of a height of the cutter head or an angle of the cutter head relative to the ground surface. The controller operates the actuator to automatically control the pitch of the plurality of fingers based on the received input on the posture of the cutter head.

An agricultural work machine, in particular a harvester, has a header for performing agricultural work and having a control device which has at least one sensor unit for detecting a crop stream in and/or around the header and an image processing unit for processing images which are generated by the sensor unit based on the crop stream detected via sensor. The control device is configured to detect regions of like characteristics, components of the header and properties of the crop stream and is configured to use that which has been detected for open loop control and/or closed loop control of process sequences in the agricultural work machine.

A method for analyzing the operating state of a cutting device for mowing crop, the cutting device having at least one mowing knife having cutting edges which interact with counter cutting edges of the cutting device, including: detecting of a signal representing the stroke position of the mowing knife; detecting a signal representing the knife force for driving the mowing knife as a function of the stroke position, and determining crop and/or cutting system properties on the basis of an evaluation of the signal representing the knife force as a function of the stroke position.

An automated implement control system includes one or more distance sensors configured for coupling with an agricultural implement. The one or more distance sensors are configured to measure a ground distance and a canopy distance from the one or more sensors to the ground and crop canopy, respectively. An implement control module is in communication with the one or more distance sensors. The implement control module controls movement of the agricultural implement. The implement control module includes a confidence module configured to determine a ground confidence value based on the measured ground distance and a canopy confidence value based on the measured canopy distance. A target selection module of the implement control module is configured to select one of the measured ground or canopy distances as a control basis for controlling movement of the agricultural implement based on the comparison of confidence values.

An agricultural harvesting machine has a cutting apparatus formed as a header for cutting and picking up crop of a crop stand, an inclined conveyor downstream of the cutting apparatus and in which a temporal layer height flow is adjusted, and a driver assistance system for controlling the cutting apparatus. The driver assistance system has a computing device and a sensor arrangement with a crop sensor system for generating crop parameters of the crop stand and a layer height sensor for generating the temporal layer height flow. The computing device simultaneously generates the cutting apparatus parameters of the cutting table length, horizontal reel position and vertical reel position so as to be adapted to one another and conveys them to the cutting apparatus to implement a harvesting process strategy in ongoing harvesting operation.

Described herein are methods and harvesters for adjusting settings of a harvester. In one embodiment, a computer Implemented method includes capturing, with at least one image capture device that is located on the harvester, images of a field view of an unharvested region to be harvested, analyzing the captured images to determine crop information for a crop of a harvested region that is adjacent to the unharvested region, and adjusting settings or operating parameters of the harvester for the unharvested region based on the crop information for the crop of the harvested region.

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. While the automated cutting unit is being controlled according to the selected harvesting process strategy, responsive to detecting a harvesting process situation on a field to be worked, with the harvesting process situation indicative of deviating from the at least one harvesting process strategy, regulation sequences, which temporarily override the execution of the harvesting process strategy, are executed.

A control system of an agricultural harvester for controllably harvesting a crop material includes: a lidar sensor configured for sensing a field condition in a forward path of travel of the agricultural harvester and thereby for outputting a field condition signal corresponding thereto; and a controller operatively coupled with the lidar sensor and a header assembly of the agricultural harvester configured for removing the crop material from a field, the controller configured for receiving the field condition signal and for outputting an adjustment signal to raise the header assembly, based at least partially on the field condition signal, when the agricultural harvester reaches an end of a plurality of crop rows.

Systems and methods for stabilizing a header of a combine harvester are provided. A vertical disturbance signal indicative of a vertical disturbance on the header and a lateral tilt disturbance signal indicative of a lateral tilt disturbance on the header are received from one or more sensors disposed on the header. A compensated vertical displacement value is determined based on the vertical disturbance signal and a compensated lateral tilt displacement value is determined based on the lateral tilt disturbance signal. One or more control signals are transmitted to one or more actuators to vertically displace the header based on the compensated vertical displacement value to compensate for the vertical disturbance and to rotationally displace the header about a pivot joint based on the compensated lateral tilt disturbance signal to compensate for the lateral tilt disturbance.

In one aspect, a method for automatically controlling a height of an implement of an agricultural work vehicle relative to a ground surface may include monitoring the height of the implement relative to the ground surface; determining a proportional signal by comparing the height of the implement with a predetermined target height; detecting a local inclination of the ground surface; calculating a derivative signal based on the local inclination of the ground surface; and adjusting the height of the implement relative to the ground surface based on an output signal that includes the proportional signal and the derivative signal.