公开(公告)号：US20210307227A1

公开(公告)日：2021-10-07

申请号：US17348752

申请日：2021-06-15

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.

公开(公告)号：US10537071B2

公开(公告)日：2020-01-21

申请号：US14444897

申请日：2014-07-28

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden

IPC: A01G22/00 ,  A01M21/04

Abstract: A method for plant treatment, including: receiving a first measurement for a plant from a sensor as the sensor moves within a geographic area comprising a plurality of plants; in response to receipt of the first measurement and prior to receipt of a second measurement for a second plant of the plurality, determining a set of treatment mechanism operation parameters for the plant to optimize a geographic area output parameter based on the first measurement and historical measurements for the geographic area; determining an initial treatment parameter for the plant; and operating a treatment mechanism in a treatment mode based on the set of operating parameters in response to satisfaction of the initial treatment parameter.

公开(公告)号：US10175362B2

公开(公告)日：2019-01-08

申请号：US15486654

申请日：2017-04-13

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden ,  Matthew Colgan

IPC: G01S17/89 ,  G01B11/24 ,  G01N33/00 ,  G06K9/62 ,  A01C21/00 ,  A01G7/06 ,  A01G22/00

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.

公开(公告)号：US20180121725A1

公开(公告)日：2018-05-03

申请号：US15341883

申请日：2016-11-02

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden ,  James Patrick Ostrowski ,  James Willis ,  Zeb Wheeler

IPC: G06K9/00 ,  G06T7/00

CPC classification number: G06K9/00657 ,  G06T7/11 ,  G06T7/73 ,  G06T2207/10004

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.

公开(公告)号：US20150237790A1

公开(公告)日：2015-08-27

申请号：US14629361

申请日：2015-02-23

Applicant: Blue River Technology, Inc.

Inventor： Lee Kamp Redden ,  Kent Anderson ,  Edward William Jeffcott Pell ,  James Patrick Ostrowski

IPC: A01B41/06 ,  A01C21/00

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.

Abstract translation: 一种方法，包括：记录第一场区域的第一图像; 基于第一图像自动处理第一区域内的植物; 用第一区域的第二图像自动验证植物处理; 并且与治疗验证同时自动处理第二区域。

公开(公告)号：US12166952B2

公开(公告)日：2024-12-10

申请号：US18479504

申请日：2023-10-02

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden

IPC: H04N13/243 ,  G06F18/2415 ,  G06T7/593 ,  G06V10/764 ,  G06V20/00 ,  G06V20/10 ,  H04N13/00 ,  H04N13/128 ,  H04N13/204 ,  H04N13/239 ,  H04N13/271

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.

公开(公告)号：US20230127880A1

公开(公告)日：2023-04-27

申请号：US18082312

申请日：2022-12-15

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden

IPC: H04N13/243 ,  H04N13/204 ,  G06T7/593 ,  H04N13/128 ,  H04N13/239 ,  H04N13/271 ,  G06V20/00 ,  G06F18/2415 ,  G06V10/764 ,  G06V20/10

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.

公开(公告)号：US11570420B2

公开(公告)日：2023-01-31

申请号：US17853925

申请日：2022-06-30

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden

IPC: H04N13/204 ,  G06K9/62 ,  H04N13/128 ,  H04N13/239 ,  H04N13/271 ,  H04N13/243 ,  G06V20/00 ,  G06T7/593 ,  H04N13/00

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.

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：US20220360758A1

公开(公告)日：2022-11-10

申请号：US17853925

申请日：2022-06-30

Applicant: Blue River Technology Inc.

Inventor： Lee Kamp Redden

IPC: H04N13/204 ,  G06T7/593 ,  G06K9/62 ,  H04N13/128 ,  H04N13/239 ,  H04N13/271 ,  H04N13/243 ,  G06V20/00

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.