Patents by Inventor Noel W. Anderson
Noel W. Anderson 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).
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Patent number: 11877528Abstract: A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.Type: GrantFiled: August 30, 2021Date of Patent: January 23, 2024Assignee: Deere & CompanyInventors: Tyler D. Schleicher, Curtis A. Maeder, Noel W. Anderson
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Patent number: 11871697Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: GrantFiled: October 9, 2020Date of Patent: January 16, 2024Assignee: Deere & CompanyInventors: Nathan R Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson
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Patent number: 11874669Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: GrantFiled: October 9, 2020Date of Patent: January 16, 2024Assignee: Deere & CompanyInventors: Nathan R Vandike, Bhanu Kiran Reddy Palla, Bradley K. Yanke, Noel W. Anderson, Mehul Bhavsar, Hrishikesh Tupe
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Patent number: 11864483Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: GrantFiled: October 9, 2020Date of Patent: January 9, 2024Assignee: Deere & CompanyInventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson, Stephen R. Corban
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Patent number: 11849671Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: GrantFiled: October 9, 2020Date of Patent: December 26, 2023Assignee: Deere & CompanyInventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson, Federico Pardina-Malbran
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Patent number: 11844311Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: GrantFiled: October 9, 2020Date of Patent: December 19, 2023Assignee: Deere & CompanyInventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Noel W. Anderson
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Publication number: 20230397532Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: August 8, 2023Publication date: December 14, 2023Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Noel W. ANDERSON, Federico PARDINA-MALBRAN
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Publication number: 20230393577Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: August 10, 2023Publication date: December 7, 2023Inventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Matthew T. Wold, Cody W. Best, Noel W. Anderson
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Publication number: 20230380346Abstract: A priori georeferenced 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 georeferenced 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: ApplicationFiled: August 8, 2023Publication date: November 30, 2023Inventors: Noel W. ANDERSON, Nathan R. VANDIKE, Federico PARDINA-MALBRAN, Bhanu Kiran Reddy PALLA
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Patent number: 11829112Abstract: 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: GrantFiled: March 17, 2023Date of Patent: November 28, 2023Assignee: Deere & CompanyInventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson, Michael A. Waldo
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Patent number: 11818977Abstract: A field planting system for planting seeds of at least two plant genotypes in a field includes a multi-variety planter operable to plant the seeds of the at least two plant genotypes in the field. The field planting system also includes a controller in operable communication with the multi-variety planter. The controller is configured to receive georeferenced field information for the field and plant information for the at least two plant genotypes, and generate a planting map for the field based on the georeferenced field information and the plant information, the planting map including a planting pattern for interplanting the seeds of the at least two plant genotypes. The controller is further configured to monitor a location of the multi-variety planter in the field, and control the multi-variety planter to plant the seeds of the at least two plant genotypes in the field according to the planting map.Type: GrantFiled: November 30, 2020Date of Patent: November 21, 2023Assignee: Deere & CompanyInventors: Noel W. Anderson, Mark E. Barker
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Publication number: 20230363304Abstract: A seeding machine moves over the ground and includes a frame, at least one hopper containing seeds to be planted and planting row units connected to the frame. Each of the row units includes a seed metering device that separates and guides individual seeds into a planting position, and a shaft that reciprocates with respect to the frame through a stroke path. The stroke path includes extension towards the ground to a lowered position and retraction away from the ground to a raised position. The shaft engages one of the seeds from the planting position while the shaft is near the raised position. The shaft moves the one of the seeds downward while the shaft extends toward the ground to create an opening in the ground by pressing the one of the seeds into ground while the shaft is near the lowered position.Type: ApplicationFiled: May 12, 2022Publication date: November 16, 2023Inventors: Mark E. Barker, Noel W. Anderson
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Publication number: 20230345874Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: June 21, 2023Publication date: November 2, 2023Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Noel W. ANDERSON
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Publication number: 20230337566Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: June 21, 2023Publication date: October 26, 2023Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Noel W. ANDERSON, Stephen R. CORBAN
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Publication number: 20230334853Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: June 20, 2023Publication date: October 19, 2023Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Noel W. ANDERSON
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Publication number: 20230320259Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects nutrient values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive nutrient values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and nutrient values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: April 8, 2022Publication date: October 12, 2023Inventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Travis J. Auderer, Kevin A. Thelen, Noel W. Anderson
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Publication number: 20230324910Abstract: An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects material consumption values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive material consumption values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and material consumption values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.Type: ApplicationFiled: April 8, 2022Publication date: October 12, 2023Inventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Noel W. Anderson
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Patent number: 11778945Abstract: A priori georeferenced 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 georeferenced 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: GrantFiled: April 10, 2019Date of Patent: October 10, 2023Assignee: Deere & CompanyInventors: Noel W. Anderson, Nathan R. Vandike, Federico Pardina-Malbran, Bhanu Kiran Reddy Palla
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Patent number: 11783576Abstract: An electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide an aggregate, sectional yield, or per row yield based on a detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.Type: GrantFiled: March 31, 2021Date of Patent: October 10, 2023Assignee: Deere & CompanyInventors: Noel W. Anderson, Gurmukh H. Advani, Benjamin M. Smith
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Patent number: 11770265Abstract: An off-road mobile work machine data capture system includes a robustly-identifiable sensor module having a task sensor that provides a task sensor signal indicative of a task. The system also includes a processor coupled to the robustly-identifiable sensor module that is configured to issue a challenge to the robustly-identifiable sensor module and compare a response from the robustly-identifiable sensor module to an expected response to authenticate the robustly-identifiable sensor module. The processor is further configured to generate an indication of authentication failure if the response from the robustly-identifiable sensor module does not match the expected response.Type: GrantFiled: April 30, 2020Date of Patent: September 26, 2023Assignee: Deere & CompanyInventors: Ali Haidous, Noel W. Anderson, Gurmukh H. Advani