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公开(公告)号：US20230038422A1
公开(公告)日：2023-02-09
申请号：US17881436
申请日：2022-08-04
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Divya Sharma , Kent Michael Anderson , Bryon William Majusiak , Benjamin Ray Chostner , James Patrick Ostrowski
Abstract: A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. Portions of the environment may include moisture, such as puddles or mud patches. A control system associated with the vehicle may include a traversability model or a moisture model to help the vehicle operate in the environment with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the vehicle attempting to traverse an untraversable portion of the environment, and the control system may employ the moisture model to reduce the likelihood of the vehicle performing an action that will damage a portion of the environment.
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公开(公告)号：US20210378187A1
公开(公告)日：2021-12-09
申请号：US17410998
申请日：2021-08-24
Applicant: Blue River Technology Inc.
Abstract: A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.
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公开(公告)号：US11129343B2
公开(公告)日：2021-09-28
申请号：US16725003
申请日：2019-12-23
Applicant: Blue River Technology Inc.
Abstract: A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.
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44.发明授权公开(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
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.
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45.发明申请公开(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
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.
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Patent Agency Ranking
公开(公告)号：US10327393B2
公开(公告)日：2019-06-25
申请号：US15061624
申请日：2016-03-04
Applicant: Blue River Technology Inc.
Abstract: A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.
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公开(公告)号：US20180330165A1
公开(公告)日：2018-11-15
申请号：US15975066
申请日：2018-05-09
Applicant: Blue River Technology Inc.
Inventor： Deaglan Halligan , Edward William Jeffcott Pell , Rajesh Radhakrishnan , Thomas Welch Brown , Lee Kamp Redden , James Patrick Ostrowski
Abstract: A plant treatment system automatically adjusts camera operation parameters for a camera used by the plant treatment system to identify and treat plants in a field. The plant treatment system can generate image segments of images received from the camera and classify the image segments based on whether the image segments represent plants. The plant treatment system determines whether each of the image segments is over- or under-exposed and adjusts the camera operation parameters for the camera based on the exposure classification of the image segments. Alternatively, the plant treatment system may use a plant detection model to identify plant pixels within an image that represent plants. The plant treatment system can then determine whether the identified plant pixels are over- or under-exposed and adjust the camera operation parameters accordingly.
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公开(公告)号：US10098273B2
公开(公告)日：2018-10-16
申请号：US15632583
申请日：2017-06-26
Applicant: Blue River Technology Inc.
IPC: A01B79/02 , A01B79/00 , A01B41/06 , A01C21/00 , A01M21/00 , A01M21/04 , G01C15/04 , G01C7/04 , A01M21/02 , G01C11/06 , G01C11/00
Abstract: A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.
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公开(公告)号：US20180121726A1
公开(公告)日：2018-05-03
申请号：US15341890
申请日：2016-11-02
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , James Patrick Ostrowski , James Willis , Zebulon Elias Wheeler
CPC classification number: G06K9/00657 , A01G7/00 , A01G22/00
Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.
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50.发明申请公开(公告)号：US20170290260A1
公开(公告)日：2017-10-12
申请号：US15632583
申请日：2017-06-26
Applicant: Blue River Technology Inc.
CPC classification number: A01B79/005 , A01B41/06 , A01C21/00 , A01C21/005 , A01M21/00 , A01M21/02 , A01M21/04 , G01C7/04 , G01C11/00 , G01C11/06 , G01C15/04 , Y02A40/12
Abstract: A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.
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