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公开(公告)号：US11445665B2
公开(公告)日：2022-09-20
申请号：US16937515
申请日：2020-07-23
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Matthew Stephen Colgan
Abstract: A system for plant parameter detection, including: a plant morphology sensor having a first field of view and configured to record a morphology measurement of a plant portion and an ambient environment adjacent the plant, a plant physiology sensor having a second field of view and configured to record a plant physiology parameter measurement of a plant portion and an ambient environment adjacent the plant, wherein the second field of view overlaps with the first field of view; a support statically coupling the plant morphology sensor to the physiology sensor, and a computing system configured to: identify a plant set of pixels within the physiology measurement based on the morphology measurement; determine physiology values for each pixel of the plant set of pixels; and extract a growth parameter based on the physiology values.
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公开(公告)号：US20220022360A1
公开(公告)日：2022-01-27
申请号：US17497868
申请日：2021-10-08
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden
IPC: A01B41/06 , G06K9/32 , A01D75/00 , G06T7/73 , G06T7/11 , G06T7/66 , G06K9/00 , G06K9/20 , A01G7/00 , A01M21/00
Abstract: A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.
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公开(公告)号：US20210406540A1
公开(公告)日：2021-12-30
申请号：US17378658
申请日：2021-07-17
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Christopher Grant Padwick , Rajesh Radhakrishnan , James Patrick Ostrowski
Abstract: A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.
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公开(公告)号：US20210327133A1
公开(公告)日：2021-10-21
申请号：US17327516
申请日：2021-05-21
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Nicholas Apostoloff
Abstract: A technique for generating virtual models of plants in a field is described. Generally, this includes recording images of plants in-situ; generating point clouds from the images; generating skeleton segments from the point cloud; classifying a subset of skeleton segments as unique plant features using the images; and growing plant skeletons from skeleton segments classified as unique plant feature. The technique may be used to generate a virtual model of a single, real plant, a portion of a real plant field, and/or the entirety of the real plant field. The virtual model can be analyzed to determine or estimate a variety of individual plant or plant population parameters, which in turn can be used to identify potential treatments or thinning practices, or predict future values for yield, plant uniformity, or any other parameter can be determined from the projected results based on the virtual model.
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公开(公告)号：US11030804B2
公开(公告)日：2021-06-08
申请号：US16984026
申请日：2020-08-03
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Nicholas Apostoloff
Abstract: A technique for generating virtual models of plants in a field is described. Generally, this includes recording images of plants in-situ; generating point clouds from the images; generating skeleton segments from the point cloud; classifying a subset of skeleton segments as unique plant features using the images; and growing plant skeletons from skeleton segments classified as unique plant feature. The technique may be used to generate a virtual model of a single, real plant, a portion of a real plant field, and/or the entirety of the real plant field. The virtual model can be analyzed to determine or estimate a variety of individual plant or plant population parameters, which in turn can be used to identify potential treatments or thinning practices, or predict future values for yield, plant uniformity, or any other parameter can be determined from the projected results based on the virtual model.
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Patent Agency Ranking
公开(公告)号：US20210058603A1
公开(公告)日：2021-02-25
申请号：US17012055
申请日：2020-09-04
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden
IPC: H04N13/204 , G06T7/593 , G06K9/62 , G06K9/00 , H04N13/128 , H04N13/239 , H04N13/271 , H04N13/243
Abstract: Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.
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公开(公告)号：US10769845B2
公开(公告)日：2020-09-08
申请号：US15996810
申请日：2018-06-04
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Nicholas Apostoloff
Abstract: A technique for generating virtual models of plants in a field is described. Generally, this includes recording images of plants in-situ; generating point clouds from the images; generating skeleton segments from the point cloud; classifying a subset of skeleton segments as unique plant features using the images; and growing plant skeletons from skeleton segments classified as unique plant feature. The technique may be used to generate a virtual model of a single, real plant, a portion of a real plant field, and/or the entirety of the real plant field. The virtual model can be analyzed to determine or estimate a variety of individual plant or plant population parameters, which in turn can be used to identify potential treatments or thinning practices, or predict future values for yield, plant uniformity, or any other parameter can be determined from the projected results based on the virtual model.
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38.发明申请公开(公告)号：US20190090408A1
公开(公告)日：2019-03-28
申请号：US16153824
申请日：2018-10-08
Applicant: Blue River Technology Inc.
IPC: A01B79/00 , A01C21/00 , A01M21/04 , A01M21/02 , A01M21/00 , G01C11/00 , A01B41/06 , G01C11/06 , G01C7/04 , G01C15/04
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：US10127450B2
公开(公告)日：2018-11-13
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
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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公开(公告)号：US10008035B1
公开(公告)日：2018-06-26
申请号：US15157997
申请日：2016-05-18
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Nicholas Apostoloff
CPC classification number: G06T17/05 , G06T7/11 , G06T7/194 , G06T7/33 , G06T7/337 , G06T7/344 , G06T7/74 , G06T15/08 , G06T17/20 , G06T2210/56 , G06T2219/2008
Abstract: A technique for generating virtual models of plants in a field is described. Generally, this includes recording images of plants in-situ; generating point clouds from the images; generating skeleton segments from the point cloud; classifying a subset of skeleton segments as unique plant features using the images; and growing plant skeletons from skeleton segments classified as unique plant feature. The technique may be used to generate a virtual model of a single, real plant, a portion of a real plant field, and/or the entirety of the real plant field. The virtual model can be analyzed to determine or estimate a variety of individual plant or plant population parameters, which in turn can be used to identify potential treatments or thinning practices, or predict future values for yield, plant uniformity, or any other parameter can be determined from the projected results based on the virtual model.
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