Claas Selbstfahrende Erntemaschinen Gmbh

Claas Selbstfahrende Emtemaschinen Gmbh

Claas E-systems Gmbh

Joachim Baumgarten

Willi Behnke

Andreas Wilken

Christoph Heitmann

Sebastian Neu

Dennis Neitemeier

Boris Kettelhoit

Christoph Bussmann

Thilo Krause

Bastian Bormann

Bernd Holtmann

Werner Fitzner

Markus Brune

Norbert Strieker

Martin Niermann

Christian Ehlert

Christopher Vieregge

Georg Eggenhaus

Eckehard Jeppe

Bastian Kriebel

Dirk Esken

Daniel Irmer

Johann Witte

Reinhard Frenser

Michael Losch

Ulrich Claes

Udo Beschorn

Dirk Speckamp

Sebastian Spiekermann

Marvin Barther

Arthur Berger

Sascha Dieckmeyer

Andreas Skiba

Andreas Wielenberg

Andreas Diekamp

Scott Wellensiek

Dennis Lutterbeck

Heinz Peters

Felix Herter

Michael Schwarz

Lukas Eidhoff

Maik Heufekes

Stefan Terörde

Henner Vöcking

Jannik Redenius

Waldemar Thiesmann

Peter Juerschik

Ingo Kirchbeck

Michael Piontek

Martin Burbank

Jan Geiger

Stefan Galland

Klaus Albers

Matthias Domnik

Robert Beck

Christian Beulke

Timo Korthals

Benedikt Feldotto

Klaus Schäfer

Rainer Bellmann

Axel Schröder

Ivan Smolnik

Max Reinecke

Ingo Beermann

Hendrik Scholle

Maximilian Schröder

Walter Fögeling

Reiner Bellmann

Christoph Bußmann

Benedikt Pölling

Christian Zurhake

Ludger Schürmann

Sebastian Jütte

Jörg Brandt

Stefan Weiß

Sascha Kemner

Jörn Brinkmann

Jan Dehmelt

Matthias Escher

Matthias Osterkamp

Scott Wllensiek

Frank Schilder

Tobias Nüvemann

Johannes Kersten

Robin Monkenbusch

Andreas Lehmberg

Jens Bußmann

Reinhold Mähler

Arne Bohl

Eberhard Nacke

Christoph Apke

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.

Self-propelled agricultural harvester and method for operating a self-propelled agricultural harvester

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.

Agricultural work machine and method to operate an agricultural work machine

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.

Harvesting machine with draper using characteristic diagrams

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.

Sensor system for recording elements of a flow of harvested material

Growing community of inventors

Beelen, Germany

Joachim Baumgarten