Patents by Inventor FEDERICO PARDINA-MALBRAN
FEDERICO PARDINA-MALBRAN 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).
-
Patent number: 11983009Abstract: 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: May 14, 2024Assignee: Deere & CompanyInventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Matthew T. Wold, Cody W. Best, Noel W. Anderson
-
Publication number: 20240122103Abstract: 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: December 12, 2023Publication date: April 18, 2024Inventors: Nathan R. Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Noel W. Anderson
-
Publication number: 20240049634Abstract: An agricultural harvesting system obtains a yield map that maps yield values to different geographic locations in a worksite and a speed map that maps agricultural harvester speed values to different geographic locations in the worksite. The agricultural harvesting system identifies a geographic location in the worksite at which the agricultural harvester will be full, at least to a threshold level, based on the yield map; identifies a geographic location in the worksite at which a material transfer operation is to start based on the geographic location at which the agricultural harvester will be full, at least to the threshold level; and identifies a time at which the agricultural harvester will arrive at the material transfer location, based on the speed map. The agricultural harvesting system can control one or more of the agricultural harvester and a receiving machine.Type: ApplicationFiled: February 20, 2023Publication date: February 15, 2024Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Federico PARDINA-MALBRAN, Nathan GREUEL, Andrew Wesley KEENAN
-
Publication number: 20240049633Abstract: One or more maps are obtained by an agricultural system. The one or more maps map characteristic values at different geographic locations in a worksite. The agricultural system identifies one or more operational constraints. The agricultural system generates a control output to control operation of a mobile machine operating in an agricultural harvesting operation based on the one or more operational constraints.Type: ApplicationFiled: February 20, 2023Publication date: February 15, 2024Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Corwin M. PURYK, Federico PARDINA-MALBRAN
-
Patent number: 11889787Abstract: 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: February 6, 2024Assignee: Deere & CompanyInventors: Nathan R Vandike, Bhanu Kiran Reddy Palla, Federico Pardina-Malbran, Noel W. Anderson
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Publication number: 20230213900Abstract: 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: ApplicationFiled: March 17, 2023Publication date: July 6, 2023Inventors: Bhanu Kiran Reddy PALLA, Nathan R. VANDIKE, Federico PARDINA-MALBRAN, Noel W. ANDERSON, Michael A. WALDO
-
Publication number: 20230180662Abstract: A crop constituent value is sensed by a crop constituent sensor on an agricultural machine. The crop constituent value is distributed among subregions covered by the agricultural machine. A vegetative index-estimated crop constituent value is obtained for each of the subregions. A weighted crop constituent value is generated for each subregion based upon the distributed constituent value for each subregion and the vegetative index-estimated constituent value for that subregion. An action signal is generated based upon the weighted crop constituent value for the subregion.Type: ApplicationFiled: December 14, 2021Publication date: June 15, 2023Inventors: BHANU KIRAN REDDY PALLA, FEDERICO PARDINA-MALBRAN, NATHAN R. VANDIKE
-
Patent number: 11650553Abstract: 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: GrantFiled: June 10, 2021Date of Patent: May 16, 2023Assignee: Deere & CompanyInventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson, Michael A. Waldo
-
Patent number: 11467605Abstract: A work machine receives a thematic map that maps values of a variable to different geographic locations at a worksite. Control zones are dynamically identified on the thematic map and actuator settings are dynamically identified for each control zone. A position of the work machine is sensed, and actuators on the work machine are controlled based upon the control zones that the work machine is in, or is entering, and based upon the settings corresponding to the control zone. These control zones and settings are dynamically adjusted based on in situ (field) data collected by sensors on the work machine.Type: GrantFiled: April 10, 2019Date of Patent: October 11, 2022Assignee: Deere & CompanyInventors: Bhanu Kiran Reddy Palla, Nathan R. Vandike, Federico Pardina-Malbran, Noel W. Anderson
-
Publication number: 20220232816Abstract: A predictive map is obtained by an agricultural material application system. The predictive map maps predictive weed values at different geographic locations in a field. A geographic position sensor detects a geographic locations of an agricultural material application machine at the field. A control system generates a control signal to control the agricultural material application machine based on the geographic locations of the agricultural material application machine and the predictive map.Type: ApplicationFiled: April 8, 2022Publication date: July 28, 2022Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Federico PARDINA-MALBRAN, David A. Hanson, Andrea M. Agarwal, Noel W. Anderson
-
Publication number: 20220110247Abstract: 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: October 9, 2020Publication date: April 14, 2022Inventors: Nathan R. VANDIKE, Bhanu Kiran Reddy PALLA, Noel W. ANDERSON, Federico PARDINA-MALBRAN
-
Publication number: 20220110246Abstract: 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: October 9, 2020Publication date: April 14, 2022Inventors: Nathan R VANDIKE, Bhanu Kiran Reddy PALLA, Federico PARDINA-MALBRAN, Noel W. ANDERSON