Patents by Inventor Michael A. Waldo

Michael A. Waldo 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).

  • Publication number: 20240224859
    Abstract: One or more techniques and/or systems are disclosed for automating the collection aggregation, and processing of data relating to harvesting or dispersion of an agricultural product. During harvesting and planting operations, data related to the product harvested or planted can be collected, aggregated, and used to improve the operation, and to help identification of the product at point of sale or point of dispersion. Further, certain operations can be automated during the harvesting or planting, such as automatic deployment of a field cart to offload/load product from/to the agricultural vehicle in the field. Additionally, load data can be automatically collected, aggregated, and identified, to follow the product through all stages.
    Type: Application
    Filed: October 19, 2022
    Publication date: July 11, 2024
    Applicant: Deere & Company
    Inventors: Michael A. Waldo, Grant J. Wonderlich
  • Publication number: 20240224854
    Abstract: One or more techniques and/or systems are disclosed for automating the collection of product harvested from a site, such as grain from a field, and filling truck trailer for transport off site. These techniques can help operations that want to improve efficiency, while reducing field compaction and other issues related to weather or environmental conditions. A predetermined level of product can be identified for the target truck trailer, and an optimized fill method can be determined for filling the truck trailer efficiently using one or more mobile transport containers moving product from the field. A sensor array can detect an amount of the product disposed in the mobile transport container during transfer, and used to fill the mobile transport container to a predetermined level based at least on the optimized fill method. The mobile transport container is then used to fill the target truck-trailer container to its predetermined level.
    Type: Application
    Filed: October 20, 2022
    Publication date: July 11, 2024
    Applicant: Deere & Company
    Inventors: Michael A. Waldo, Grant J. Wonderlich, Stephen R. Corban
  • Publication number: 20240130282
    Abstract: One or more techniques and/or systems are disclosed for automating the collection aggregation, and processing of data relating to harvesting or dispersion of an agricultural product. During harvesting and planting operations, data related to the product harvested or planted can be collected, aggregated, and used to improve the operation, and to help identification of the product at point of sale or point of dispersion. Further, certain operations can be automated during the harvesting or planting, such as automatic deployment of a field cart to offload/load product from/to the agricultural vehicle in the field. Additionally, load data can be automatically collected, aggregated, and identified, to follow the product through all stages.
    Type: Application
    Filed: October 18, 2022
    Publication date: April 25, 2024
    Applicant: Deere & Company
    Inventors: Michael A. Waldo, Grant J. Wonderlich
  • Publication number: 20240130278
    Abstract: One or more techniques and/or systems are disclosed for automating the collection of product harvested from a site, such as grain from a field, and filling truck trailer for transport off site. These techniques can help operations that want to improve efficiency, while reducing field compaction and other issues related to weather or environmental conditions. A predetermined level of product can be identified for the target truck trailer, and an optimized fill method can be determined for filling the truck trailer efficiently using one or more mobile transport containers moving product from the field. A sensor array can detect an amount of the product disposed in the mobile transport container during transfer, and used to fill the mobile transport container to a predetermined level based at least on the optimized fill method. The mobile transport container is then used to fill the target truck-trailer container to its predetermined level.
    Type: Application
    Filed: October 19, 2022
    Publication date: April 25, 2024
    Applicant: Deere & Company
    Inventors: Michael A. Waldo, Grant J. Wonderlich, Stephen R. Corban
  • Patent number: 11829112
    Abstract: A priori geo-referenced data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Grant
    Filed: March 17, 2023
    Date of Patent: November 28, 2023
    Assignee: Deere & Company
    Inventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson, Michael A. Waldo
  • Publication number: 20230213900
    Abstract: A priori geo-referenced data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Application
    Filed: March 17, 2023
    Publication date: July 6, 2023
    Inventors: Bhanu Kiran Reddy PALLA, Nathan R. VANDIKE, Federico PARDINA-MALBRAN, Noel W. ANDERSON, Michael A. WALDO
  • Patent number: 11650553
    Abstract: A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Grant
    Filed: June 10, 2021
    Date of Patent: May 16, 2023
    Assignee: Deere & Company
    Inventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson, Michael A. Waldo
  • Publication number: 20210302925
    Abstract: A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Application
    Filed: June 10, 2021
    Publication date: September 30, 2021
    Inventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson, Michael A. Waldo
  • Patent number: 11079725
    Abstract: A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: August 3, 2021
    Assignee: Deere & Company
    Inventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Michael A. Waldo, Noel W. Anderson
  • Publication number: 20200326674
    Abstract: A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Inventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Michael A. Waldo, Noel W. Anderson
  • Patent number: 9513932
    Abstract: A system and method for displaying data associated with an embedded system is provided that may include a vehicle data bus, an electronic control unit, and a display unit. The display unit may be configured to render a graphical user interface for the electronic control unit. Data may be exchanged between the electronic control unit and the display unit via the vehicle data bus in partial compliance with a virtual terminal protocol, where full compliance with the virtual terminal protocol requires that the graphical user interface rendered by the display unit be defined and controlled by the electronic control unit. Contrary to the requirement of full compliance with the virtual terminal protocol, the graphical user interface in the display unit may be defined and controlled by the display unit.
    Type: Grant
    Filed: June 20, 2013
    Date of Patent: December 6, 2016
    Assignee: Deere & Company
    Inventors: Wayne A. Andersen, Michael J. Martin, Steven R. Procuniar, David C. Smart, Michael A. Waldo
  • Publication number: 20140325419
    Abstract: A system and method for displaying data associated with an embedded system is provided that may include a vehicle data bus, an electronic control unit, and a display unit. The display unit may be configured to render a graphical user interface for the electronic control unit. Data may be exchanged between the electronic control unit and the display unit via the vehicle data bus in partial compliance with a virtual terminal protocol, where full compliance with the virtual terminal protocol requires that the graphical user interface rendered by the display unit be defined and controlled by the electronic control unit. Contrary to the requirement of full compliance with the virtual terminal protocol, the graphical user interface in the display unit may be defined and controlled by the display unit.
    Type: Application
    Filed: June 20, 2013
    Publication date: October 30, 2014
    Applicant: Deere & Company
    Inventors: Wayne A. Andersen, Michael J. Martin, Steven R. Procuniar, David C. Smart, Michael A. Waldo