Patents by Inventor Olgert Denas
Olgert Denas 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: 20240046479Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.Type: ApplicationFiled: October 16, 2023Publication date: February 8, 2024Inventors: Christopher Grant Padwick, William Louis Patzoldt, Benjamin Kahn Cline, Olgert Denas, Sonali Subhash Tanna
-
Patent number: 11823388Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.Type: GrantFiled: January 9, 2023Date of Patent: November 21, 2023Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Christopher Grant Padwick, William Louis Patzoldt, Benjamin Kahn Cline, Olgert Denas, Sonali Subhash Tanna
-
Publication number: 20230177697Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.Type: ApplicationFiled: January 9, 2023Publication date: June 8, 2023Inventors: Christopher Grant Padwick, William Louis Patzoldt, Benjamin Kahn Cline, Olgert Denas, Sonali Subhash Tanna
-
Publication number: 20230076562Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.Type: ApplicationFiled: November 11, 2022Publication date: March 9, 2023Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
-
Patent number: 11580718Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.Type: GrantFiled: August 17, 2020Date of Patent: February 14, 2023Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Christopher Grant Padwick, William Louis Patzoldt, Benjamin Kahn Cline, Olgert Denas, Sonali Subhash Tanna
-
Patent number: 11514671Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.Type: GrantFiled: June 4, 2020Date of Patent: November 29, 2022Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
-
Publication number: 20210056338Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.Type: ApplicationFiled: August 17, 2020Publication date: February 25, 2021Inventors: Christopher Grant Padwick, William Louis Patzoldt, Benjamin Kahn Cline, Olgert Denas, Sonali Subhash Tanna
-
Publication number: 20200302170Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.Type: ApplicationFiled: June 4, 2020Publication date: September 24, 2020Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
-
Patent number: 10713484Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.Type: GrantFiled: September 10, 2018Date of Patent: July 14, 2020Assignee: Blue River Technology Inc.Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
-
Publication number: 20190362146Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.Type: ApplicationFiled: September 10, 2018Publication date: November 28, 2019Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chian-Chun Fu, Chris Padwick