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    Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments
    52.
    发明申请
    Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments 审中-公开

    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.

    Plant treatment based on morphological and physiological measurements
    53.
    发明授权
    Plant treatment based on morphological and physiological measurements 有权

    公开(公告)号：US10761211B2

    公开(公告)日：2020-09-01

    申请号：US16174232

    申请日：2018-10-29

    Applicant: Blue River Technology Inc.

    Inventor： Lee Kamp Redden ,  Matthew Colgan

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

    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.

    Modular Precision Agriculture System
    54.
    发明申请
    Modular Precision Agriculture System 审中-公开

    公开(公告)号：US20190261581A1

    公开(公告)日：2019-08-29

    申请号：US16405810

    申请日：2019-05-07

    Applicant: Blue River Technology Inc.

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

    IPC: A01G22/00 ,  A01C21/00 ,  A01M21/04

    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.

    PLANT TREATMENT BASED ON MORPHOLOGICAL AND PHYSIOLOGICAL MEASUREMENTS
    55.
    发明申请
    PLANT TREATMENT BASED ON MORPHOLOGICAL AND PHYSIOLOGICAL MEASUREMENTS 审中-公开

    公开(公告)号：US20190064363A1

    公开(公告)日：2019-02-28

    申请号：US16174232

    申请日：2018-10-29

    Applicant: Blue River Technology Inc.

    Inventor： Lee Kamp Redden ,  Matthew Colgan

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

    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.

    Plot gap identification
    56.
    发明授权
    Plot gap identification 有权

    公开(公告)号：US10192112B2

    公开(公告)日：2019-01-29

    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 ,  H04N7/18

    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.

    Combine Harvester Including Machine Feedback Control
    57.
    发明申请
    Combine Harvester Including Machine Feedback Control 审中-公开

    公开(公告)号：US20180271015A1

    公开(公告)日：2018-09-27

    申请号：US15927980

    申请日：2018-03-21

    Applicant: Blue River Technology Inc.

    Inventor： Lee Kamp Redden ,  Wentao Yu ,  Erik Ehn ,  James Michael Fleming

    IPC: A01D41/127 ,  G05B13/02

    CPC classification number: A01D41/127 ,  A01D45/02 ,  A01D45/04 ,  A01D45/30 ,  G05B13/027 ,  G06N3/006 ,  G06N3/0454 ,  G06N3/08 ,  G06N7/005

    Abstract: A combine harvester (combine) includes any number of components to harvest plants as the combine travels through a plant field. The components take actions to harvest plants or facilitate harvesting plants. The combine includes any number of sensors to measure the state of the combine as the combine harvests plants. The combine includes a control system to generate actions for the components to harvest plants in the field. The control system includes an agent executing a model that functions to improve the performance of the combine harvesting plants. Performance improvement can be measured by the sensors of the combine. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.

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