公开(公告)号：US11514671B2

公开(公告)日：2022-11-29

申请号：US16893405

申请日：2020-06-04

Applicant: Blue River Technology Inc.

Inventor： Andrei Polzounov ,  James Patrick Ostrowski ,  Lee Kamp Redden ,  Olgert Denas ,  Chia-Chun Fu ,  Chris Padwick

IPC: G06V20/10 ,  G06N5/04 ,  G06T7/10 ,  G06V10/26 ,  A01B76/00

Abstract: 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.

公开(公告)号：US20230076562A1

公开(公告)日：2023-03-09

申请号：US17985766

申请日：2022-11-11

Applicant: Blue River Technology Inc.

Inventor： Andrei Polzounov ,  James Patrick Ostrowski ,  Lee Kamp Redden ,  Olgert Denas ,  Chia-Chun Fu ,  Chris Padwick

IPC: G06V20/10 ,  G06N5/04 ,  G06T7/10 ,  G06V10/26

Abstract: 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.

公开(公告)号：US20200302170A1

公开(公告)日：2020-09-24

申请号：US16893405

申请日：2020-06-04

Applicant: Blue River Technology Inc.

Inventor： Andrei Polzounov ,  James Patrick Ostrowski ,  Lee Kamp Redden ,  Olgert Denas ,  Chia-Chun Fu ,  Chris Padwick

IPC: G06K9/00 ,  G06K9/34 ,  G06N5/04 ,  G06T7/10

Abstract: 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.

公开(公告)号：US10713484B2

公开(公告)日：2020-07-14

申请号：US16126842

申请日：2018-09-10

Applicant: Blue River Technology Inc.

Inventor： Andrei Polzounov ,  James Patrick Ostrowski ,  Lee Kamp Redden ,  Olgert Denas ,  Chia-Chun Fu ,  Chris Padwick

IPC: G06K9/00 ,  G06K9/34 ,  G06N5/04 ,  G06T7/10 ,  A01B76/00

Abstract: 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.

公开(公告)号：US20190362146A1

公开(公告)日：2019-11-28

申请号：US16126842

申请日：2018-09-10

Applicant: Blue River Technology Inc.

Inventor： Andrei Polzounov ,  James Patrick Ostrowski ,  Lee Kamp Redden ,  Olgert Denas ,  Chian-Chun Fu ,  Chris Padwick

IPC: G06K9/00 ,  G06K9/34 ,  G06T7/10 ,  G06N5/04

Abstract: 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.