Claas Selbstfahrende Erntemaschinen Gmbh

Claas E-Systems Gmbh

Johann Witte

Dennis Neitemeier

Bastian Bormann

Frédéric Fischer

Joachim Baumgarten

Andreas Wilken

Marvin Barther

Maik Heufekes

Boris Kettelhoit

Christian Ehlert

Eckehard Jeppe

Reinhard Frenser

Sven Carsten Belau

Michael Losch

Daniel Irmer

Sebastian Spiekermann

Waldemar Thiesmann

Jannik Redenius

Philipp Heymann

Marc Nalbach

Axel Schröder

Daniel Sprigade

Timo Korthals

Stefan Galland

Ralf Marbach

Klaus Albers

Matthias Domnik

Peter Juerschik

Ingo Kirchbeck

Michael Piontek

Jan Geiger

Robert Beck

Reinhold Mähler

Arne Bohl

Eberhard Nacke

Christoph Apke

Robin Monkenbusch

Maximilian Schröder

Torben Töniges

René Middelberg

Dr Eberhard Nacke

A swarm assistance system for autonomous agricultural universal production machines is disclosed. The swarm assistance system is integrated into an agricultural work network. The agricultural work network connects autonomous agricultural universal production machines as providers of agricultural jobs and customers of agricultural jobs with each other and with the swarm assistance system. The autonomous agricultural universal production machines are configured to perform a plurality of different agricultural jobs by being equipped with changing work assemblies. The swarm assistance system receives request data relating to a requested agricultural job from the customers, matches the request data with capacity data of at least one of the agricultural universal production machines and, based on the result of the matching, rents at least one agricultural universal production machine to perform the requested agricultural job.

Swarm assistance system and method for autonomous agricultural universal production machines

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 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

An agricultural harvesting machine, with at least one work assembly and a monitoring assembly, is disclosed. The agricultural harvesting machine transports harvested material in a harvested material flow along a harvested material transport path. The monitoring assembly includes an measuring system positioned on the harvested material transport path and an evaluation device configured to determine at least one harvested material parameter. The measuring system includes a first passive optical sensor that senses image data indicative of visible light in a first section and a second non-passive non-optical sensor that senses data in a second section that at least partly overlaps the first section. The evaluation device correlates the image data for the overlapping section from the first optical sensor and the data from the second optical sensor and determines, based on the correlation, at least one harvested material parameter.

Agricultural harvesting machine with a monitoring assembly to sense harvested material flow in the agricultural harvesting machine

An optical measuring device for the spectral measurement of a sample is disclosed. The optical measure device includes an integrating cavity that has a diffusely reflective interior in order to render the light in the integrating cavity diffuse, a light source that is configured to emit light of a predetermined wavelength range into the integrating cavity, and a sensor that is configured to receive light from the integrating cavity, wherein the integrating cavity comprises an optical opening, and wherein the optical measuring device is provided and configured to measure a sample located outside of the integrating cavity directly in front of the optical opening.

Optical measuring device

A device and a method for determining a portion of broken grain and/or non-grain components in a stream of harvested material is disclosed. The device includes a camera to generate images of the stream of harvested material and an evaluation unit to estimate the portion in an image supplied by the camera. The evaluation unit includes a first-order classifier to estimate a first parameter of the stream of harvested material, and a plurality of second-order classifiers assigned to various values of the first parameter to estimate the portion in a stream of harvested material that has the assigned parameter value. The evaluation unit, with assistance of the first-order classifier, estimates a value of the first parameter using a first number of images of the camera, and then selects the second-order classifier assigned to the value of the first parameter to estimate the portion with assistance of the selected second-order classifier.

Device and method for evaluating the composition of a stream of harvested material

Growing community of inventors

Fröndenberg, Germany

Johann Witte