Patents by Inventor Josh Brungardt

Josh Brungardt has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Anomaly detection
    Patent number: 11334983
    Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: May 17, 2022
    Assignee: CHS Inc.
    Inventors: Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth
  • ANOMALY DETECTION
    Publication number: 20200311907
    Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
    Type: Application
    Filed: June 17, 2020
    Publication date: October 1, 2020
    Inventors: Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth
  • Anomaly detection
    Patent number: 10726536
    Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
    Type: Grant
    Filed: July 5, 2018
    Date of Patent: July 28, 2020
    Assignee: CHS Inc.
    Inventors: Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth
  • ANOMALY DETECTION
    Publication number: 20180330492
    Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
    Type: Application
    Filed: July 5, 2018
    Publication date: November 15, 2018
    Inventors: Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth
  • Anomaly detection
    Patent number: 10078890
    Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: September 18, 2018
    Assignee: CHS North LLC
    Inventors: Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth