Blue River Technology Inc.

Michael Albert Elcano

Jeremy D Krantz

Divya Sharma

Tyler Niday

Byron Gajun Ho

Robert Joseph Plumeau

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

Machine-learned tillage plug detection in an autonomous farming vehicle

Growing community of inventors

Bakersfield, CA, United States of America

Michael Albert Elcano