Deere + Company

Blue River Technology Inc.

Jeremy D Krantz

Adam D Sporrer

Ricky B Theilen

Lucas B Larsen

Divya Sharma

Tyler Niday

Robert Joseph Plumeau

Michael Albert Elcano

Byron Gajun Ho

Richard Joseph Connell

Robert Thomas Casper

John M Schweitzer

David Lee Steinlage

Jarrod Ray Ruckle

Mark Donald Beeck

Philip David Cox

Greg T Buse

Bryan D Blauwet

Jacob W Cross

Kirti Balani

Vishal Rane

Ranjit Nair

Richard J Connell

Nair Ranjit

Work machines, control systems for work machines, and methods of operating work machines. A work machine includes a frame structure, a work implement, and a control system. The work implement is coupled to the frame structure and includes at least one ground engagement tool that is configured for movement in response to interaction with an underlying surface in use of the use work machine. The control system is coupled to the frame structure and includes a sensor mounted to the at least one ground engagement tool and a controller communicatively coupled to the sensor.

Work machine control systems to monitor ground engagement tools and map obstacles

Work machines, control systems for work machines, and methods of operating work machines are envisioned. A work machine includes a frame structure, a work implement, and a control system. The work implement is coupled to the frame structure and includes at least one ground engagement tool that is configured for movement in response to interaction with an underlying surface in use of the use work machine. The control system is coupled to the frame structure and includes a sensor mounted to the at least one ground engagement tool and a controller communicatively coupled to the sensor.

A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).

Machine-learned tillage shank malfunction in an autonomous farming vehicle

Machine-learned tillage sweep malfunction in an autonomous farming vehicle

Work machines, control systems for work machines, and methods of operating work machines are disclosed. A work machine includes a frame structure, a work implement, and a control system. The work implement is coupled to the frame structure and includes at least one ground engagement tool that is configured for movement in response to interaction with an underlying surface in use of the use work machine. The control system is coupled to the frame structure and includes a sensor mounted to the at least one ground engagement tool and a controller communicatively coupled to the sensor.

Machine-learned tillage plug detection in an autonomous farming vehicle

A metric priority is accessed, which identifies a priority of a plurality of different control metrics that are used in controlling an agricultural implement. Control signals are generated to control the implement to bring the metrics within corresponding predefined ranges in descending order of priority.

Controlling an agricultural implement using a metric priority

A residue detection and implement control system and method are disclosed for an agricultural implement. The system includes a source of environment data and image data of an imaged area of a crop field containing residue. The system includes a data store containing a plurality of image processing methods and at least one controller that processes the image data according to one or more image processing instruction sets. The controller selects one or more of the image processing methods based on the environment data, and processes the image data using the selected image processing instruction(s) to determine a value corresponding to residue coverage in the imaged area of the field. The controller adjusts the configuration of the agricultural implement to respond to the amount and type of residue detected.

System and method for residue detection and implement control

One or more sensors identify a characteristic of a towed implement using non-visual electromagnetic radiation, auditory detection or temperature detection. The characteristic of the implement is compared to a reference characteristic to determine whether the implement has a problem. If so, control signals are generated to control a controllable subsystem based upon the identified problem.

Implement detection and control system

A drawbar apparatus is provided for coupling an earth-working tool to a frame of an agricultural implement. The drawbar apparatus comprises a drawbar. The drawbar comprises a first portion coupled to the frame and a second portion. A joint comprises a first bracket comprising a protrusion. The protrusion defines a first aperture. The first bracket is coupled to one of the second portion of the drawbar and the earth-working tool. A second bracket defines a channel configured to receive the protrusion. The channel defines a second aperture on a first side of the channel and a third aperture on a second side of the channel. The second bracket is coupled to the other of the second portion of the drawbar and the earth-working tool. A fastener is positioned through the first aperture, the second aperture, and the third aperture. The protrusion is configured to move laterally in the channel.

Drawbar apparatus of an agricultural implement

A seal assembly is disclosed for a bearing having first ring with a first inner surface, a second ring with a second inner surface, and at least one bearing member disposed between the first and second inner surfaces. An exterior seal with a first plurality of lips is attached to an exterior backing, the exterior backing engaging the first ring of the bearing to hold the first plurality of lips against the second inner surface of the second ring. An interior seal with a second plurality of lips is attached to an interior backing, the interior backing engaging the second ring of the bearing to hold the second plurality of lips against the first inner surface of the first ring. The second plurality of lips may be configure differently than the first plurality of seal lips. The interior backing may be oriented between the exterior seal and the interior seal.

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Polk City, IA, United States of America

Jeremy D Krantz