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1. 发明授权

US11350622B2 System and method for plant treatment based on neighboring effects 有权
公开(公告)号：US11350622B2
公开(公告)日：2022-06-07
申请号：US17497866
申请日：2021-10-08
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden
IPC分类号： A01M21/04 , A01G22/20
摘要： 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.

2. 发明授权

US11093745B2 Automated plant detection using image data 有权
公开(公告)号：US11093745B2
公开(公告)日：2021-08-17
申请号：US15975092
申请日：2018-05-09
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden , Christopher Grant Padwick , Rajesh Radhakrishnan , James Patrick Ostrowski
IPC分类号： G06K9/00 , G06T7/00 , G06K9/32 , G06K9/62 , G06K9/46 , A01M7/00 , G06T7/73
摘要： 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.

3. 发明申请

US20180330166A1 AUTOMATED PLANT DETECTION USING IMAGE DATA 审中-公开
公开(公告)号：US20180330166A1
公开(公告)日：2018-11-15
申请号：US15975092
申请日：2018-05-09
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden , Christopher Grant Padwick , Rajesh Radhakrishnan , James Patrick Ostrowski
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06K9/00657 , G06T7/0002 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188 , G06T2210/12
摘要： 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.

4. 发明申请

US20180286117A1 SYSTEM AND METHOD OF VIRTUAL PLANT FIELD MODELLING 审中-公开
公开(公告)号：US20180286117A1
公开(公告)日：2018-10-04
申请号：US15996810
申请日：2018-06-04
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden , Nicholas Apostoloff
IPC分类号： G06T17/05 , G06T17/20 , G06T15/08 , G06T9/00
CPC分类号： G06T17/05 , G06T7/11 , G06T7/194 , G06T7/33 , G06T7/337 , G06T7/344 , G06T7/74 , G06T15/08 , G06T17/20 , G06T2210/56 , G06T2219/2008
摘要： 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.

5. 发明申请

US20160255778A1 MODULAR PRECISION AGRICULTURE SYSTEM 审中-公开
标题翻译：模块化精密农业系统
公开(公告)号：US20160255778A1
公开(公告)日：2016-09-08
申请号：US15061624
申请日：2016-03-04
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden , James Patrick Ostrowski , Kent Anderson , Edward William Jeffcott Pell
IPC分类号： A01G1/00 , A01M21/04
CPC分类号： A01G22/00 , A01C21/002 , A01M21/04 , A01M21/043 , Y02A40/12
摘要： 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.
摘要翻译：模块化系统包括轮毂和可移除地联接到轮毂的一组模块。模块相对于彼此物理耦合到框架，使得每个模块可以相对于场的不同行进行操作。单个模块包括传感器，用于当模块化系统移动通过地理区域时捕获沿着一行的各个设备的现场测量数据。单个模块还包括处理机构，用于在模块化系统通过各个设备之前，基于现场测量数据向该行的各个工厂施加处理。单个模块还包括计算设备，其基于现场测量数据确定处理并将数据传送到集线器。集线器通信地耦合到模块，使得它可以在模块之间和远程计算系统之间交换数据。

6. 发明申请

US20150245554A1 METHOD AND APPARATUS FOR AUTOMATED PLANT NECROSIS 有权
标题翻译：自动化植物病害的方法和装置
公开(公告)号：US20150245554A1
公开(公告)日：2015-09-03
申请号：US14713362
申请日：2015-05-15
申请人： Blue River Technology, Inc.
发明人： Lee Kamp Redden
IPC分类号： A01B41/06 , A01M21/00
CPC分类号： A01B41/06 , A01D75/00 , A01G7/00 , A01M21/00 , G06K9/00657 , G06K9/2036 , G06K9/3241 , G06K2209/17 , G06T7/11 , G06T7/66 , G06T7/73 , G06T2207/20164 , G06T2207/30128 , G06T2207/30188 , G06T2207/30252
摘要： 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.
摘要翻译：一种从植物领域实时植物选择和移除的方法，包括捕获植物区域的第一部分的第一图像，将第一图像分割成指示第一部分内的单个植物的区域，选择用于保留的最佳植物基于第一图像和先前变薄的植物场部分的第一图像，在机器通过未选择的区域之前，向第二部分发送指示给植物去除机构以从第二部分移除与第一图像的未选择区域相对应的植物;以及对机器行进方向上与第一部分相邻的植物场的第二部分重复上述步骤。

7. 发明授权

US09030549B2 Method and apparatus for automated plant necrosis 有权
标题翻译：自动化植物坏死的方法和装置
公开(公告)号：US09030549B2
公开(公告)日：2015-05-12
申请号：US13788320
申请日：2013-03-07
申请人： Blue River Technology, Inc.
发明人： Lee Kamp Redden
IPC分类号： G06K9/32 , A01D75/00 , A01B41/06 , A01M21/00 , G06K9/20 , A01G7/00
CPC分类号： A01B41/06 , A01D75/00 , A01G7/00 , A01M21/00 , G06K9/00657 , G06K9/2036 , G06K9/3241 , G06K2209/17 , G06T7/11 , G06T7/66 , G06T7/73 , G06T2207/20164 , G06T2207/30128 , G06T2207/30188 , G06T2207/30252
摘要： A method of distinguishing individual plants within a row of plants, including directing radiation at the row of plants at an angle selected to illuminate a portion of the plant and cast a shadow at the plant center, collecting an image from the radiation reflected off of two or more contiguous plants with a detector, identifying a continuous foreground region indicative of a plant within the image, identifying points of interest within the region, classifying the points of interest as plant centers and non-plant centers, and segmenting the region into sub-regions, each sub-region encompassing a single point of interest classified as a plant center.
摘要翻译：一种区分一排植物中的单个植物的方法，包括以选定以照射植物的一部分并在植物中心投射阴影的角度引导植物的排列处的辐射，从放射线反射的辐射收集图像或具有检测器的更连续的植物，识别指示图像内的植物的连续前景区域，识别该区域内的感兴趣点，将兴趣点分类为植物中心和非植物中心，以及将该区域分割为子区域，区域，包括分类为植物中心的单个兴趣点的每个子区域。

8. 发明申请

US20230076562A1 Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments 有权
公开(公告)号：US20230076562A1
公开(公告)日：2023-03-09
申请号：US17985766
申请日：2022-11-11
申请人： Blue River Technology Inc.
发明人： Andrei Polzounov , James Patrick Ostrowski , Lee Kamp Redden , Olgert Denas , Chia-Chun Fu , Chris Padwick
IPC分类号： G06V20/10 , G06N5/04 , G06T7/10 , G06V10/26
摘要： 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.

9. 发明申请

US20220346364A1 System and Method for Plant Treatment Based on Neighboring Effects 有权
公开(公告)号：US20220346364A1
公开(公告)日：2022-11-03
申请号：US17749113
申请日：2022-05-19
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden
IPC分类号： A01M21/04 , A01G22/20
摘要： 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.

10. 发明授权

US11197409B2 System and method for automated odometry calibration for precision agriculture systems 有权
公开(公告)号：US11197409B2
公开(公告)日：2021-12-14
申请号：US16153824
申请日：2018-10-08
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden , Kent Anderson , Edward William Jeffcott Pell , James Patrick Ostrowski
IPC分类号： A01B79/00 , G01C11/00 , G01C15/04 , G01C7/04 , G01C11/06 , A01C21/00 , A01M21/00 , A01M21/02 , A01M21/04 , A01B41/06
摘要： 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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