Abstract: An on-board computer system for a work vehicle having an actuator. The computer system comprises an electronic control unit that is connected to and controls the actuator, a display unit and an input unit. The display unit displays operating parameters of the work vehicle. Through the input unit the operator inputs operating parameters of the work vehicle. The control unit transmits control signals to the actuator and can be operated selectively in a first operating mode and in a second operating mode. In the first operating mode the control unit displays a greater number of operating parameters that can be changed by the input unit than in the second operating mode.

Abstract: A system for measuring the amount of crop material located on a field to be harvested uses a scanning laser device. The scanning laser device has a transmitter for emitting electromagnetic radiation, a receiver for receiving reflected radiation from the crop material and providing resolution in terms of location and/or angle from which the reflected radiation was received. The receiver also generates an intensity signal indicating the intensity of the reflected electromagnetic radiation. A controller is in communication with the scanning laser device and determines the amount of the crop material located on the field on the basis of the crop material location signals and the intensity signals received from the receiver.

Abstract: A control system for a harvester or similar implement includes a supervisory controller, a set of low-level controllers and a neuro-fuzzy inference system. The supervisory controller employs human expert knowledge and fuzzy logic. The controller monitors the quality of the harvesting process, such as gain loss, dockage, grain damage and the like. Based on the measurements, setpoints for all critical functional elements of the implement are determined. The neuro-fuzzy inference system determines machine settings according to operating conditions and learns from harvester experience. The parameters of the neuro-fuzzy inference system are stored in on-board memory. The neuro-fuzzy system can be used for harvester set-up and as one of the knowledge sources for repeated adjustments during the harvest.

Abstract: A control system for a harvester or similar implement includes a supervisory controller, a set of low-level controllers and a neuro-fuzzy inference system. The supervisory controller employs human expert knowledge and fuzzy logic. The controller monitors the quality of the harvesting process, such as gain loss, dockage, grain damage and the like. Based on the measurements, setpoints for all critical functional elements of the implement are determined. The neuro-fuzzy inference system determines machine settings according to operating conditions and learns from harvester experience. The parameters of the neuro-fuzzy inference system are stored in on-board memory. The neuro-fuzzy system can be used for harvester set-up and as one of the knowledge sources for repeated adjustments during the harvest.

Abstract: A system for measuring the amount of crop material located on a field to be harvested uses a scanning laser device. The scanning laser device has a transmitter for emitting electromagnetic radiation, a receiver for receiving reflected radiation from the crop material and providing resolution in terms of location and/or angle from which the reflected radiation was received. The receiver also generates an intensity signal indicating the intensity of the reflected electromagnetic radiation. A controller is in communication with the scanning laser device and determines the amount of the crop material located on the field on the basis of the crop material location signals and the intensity signals received from the receiver.

Abstract: The entire right, title and interest in and to this application and all subject matter disclosed and/or claimed therein, including any and all divisions, continuations, reissues, etc., thereof are, effective as of the date of execution of this application, assigned, transferred, sold and set over by the applicant(s) named herein to Deere & Company, a Delaware corporation having offices at Moline, Ill. 61265, U.S.A., together with all rights to file, and to claim priorities in connection with, corresponding patent applications in any and all foreign countries in the name of Deere & Company or otherwise.

Abstract: A system for automatically steering a utility vehicle having an operating implement. The system comprises a controller that is in communication with a scanning sensor. The controller receives an output signal from the scanning sensor and generates a steering signal that is directed to a steering controller for automatically steering the vehicle along a boundary of operation detected by the scanning sensor. The controller is supplied with information on which side of the operating implement the boundary of operation is located. The controller controls the scanning region of the scanning sensor as a function of this information.

Abstract: An automatic steering system is provided with a first position sensor for generating a first position signal and a second position sensor for generating a second position signal. Both position signals are communicated to a controller having a memory. The controller is also supplied signal quality information about the quality of the position signals. The controller evaluates the position signals based on the signal quality information and weights the position signals accordingly to calculate the position of the vehicle and select the vehicle's target path. The target path is selected from several target paths and is the best that corresponds to the position of the vehicle. The controller then generates a steering signal that is communicated to a steering controller for steering the vehicle.

Abstract: A system for locating an agricultural vehicle in a field using two position sensors. A first position sensor is a GPS sensor using satellite signals to locate the vehicle. The second position sensor is a crop edge sensor for locating the vehicle relative to a crop being harvested. A controller receives the first and second position signals and calculates the position of the vehicle based on these two position signals. Both position signals contain signal quality information that is evaluated by the controller and weights the position calculation accordingly. The system can be used in conjunction with a steering controller to automatically guide the vehicle through a field.

Abstract: A monitoring device for monitoring the function of an agricultural working machine comprises at least one sensor that is designed for generating a sensed signal containing information on noise caused by at least one movable element of the working machine. A computer receives the sensed signal of the sensor and generates an output signal value based on the sensed signal delivered by the sensor and a comparative value. Defect messages can be generated to alert the operator of a defect condition.

Abstract: A monitoring device for a harvesting machine comprises at least one sensor that is designed for generating a signal containing information on the noises caused by harvested crop material as it passes through a crop processing assembly. The sensor is spaced apart from and outside the flow of harvested crop material through the crop processing assembly.

Abstract: A rotary conveyor comprises a rotatable drum-shaped shell, an eccentric axle located in the drum-shaped shell, finger supports mounted to the eccentric axle, and a plurality of fingers mounted to the finger supports that extend outwardly through openings in the drum-shaped shell. The finger supports are rotatively mounted to and spaced radially outward from the eccentric axle by annular bearings. The finger supports are parallel to the eccentric axle and are provided with a plurality of fingers, such that several fingers arranged next to one another in the axial direction are attached to finger supports. The finger supports are distributed around the circumference of the eccentric axle.