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    Targeting objects of interest in an agricultural environment
    31.
    发明授权
    Targeting objects of interest in an agricultural environment 有权

    公开(公告)号：US11517008B1

    公开(公告)日：2022-12-06

    申请号：US17840534

    申请日：2022-06-14

    Applicant: Verdant Robotics, Inc.

    Inventor： Gabriel Thurston Sibley ,  Lorenzo Ibarria ,  Curtis Dale Garner ,  Patrick Christopher Leger

    IPC: G06F7/00 ,  A01M7/00 ,  G05B15/02

    Abstract: A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.

    AUTONOMOUS LASER TREATMENT SYSTEM FOR AGRICULTURAL OBJECTS
    33.
    发明申请
    AUTONOMOUS LASER TREATMENT SYSTEM FOR AGRICULTURAL OBJECTS 有权

    公开(公告)号：US20220118555A1

    公开(公告)日：2022-04-21

    申请号：US17503221

    申请日：2021-10-15

    Applicant: Verdant Robotics, Inc.

    Inventor： Gabriel Thurston Sibley ,  Patrick Christopher Leger ,  Wisit Jirattigalochote ,  Curtis Dale Garner ,  Liang-shian Chen ,  Jacob R. Stelzriede

    IPC: B23K26/38 ,  A01B79/00 ,  B23K26/08

    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system uses a treatment unit for emitting a laser at agricultural objects. The treatment unit is configured with a treatment head assembly that includes a moveable treatment head with one or more laser emitting tips. A first and second motor assembly are operated by the treatment unit to control the movement of the treatment head. The first motor assembly includes a first motor rotatable in a first rotational axis. A first linkage assembly is connected to the first motor and the treatment head assembly. The first linkage assembly is rotatable by the first motor. The second linkage assembly is rotatable by the second motor.

    PRECISION FLUID DELIVERY SYSTEM
    35.
    发明申请
    PRECISION FLUID DELIVERY SYSTEM 有权

    公开(公告)号：US20220117209A1

    公开(公告)日：2022-04-21

    申请号：US17503217

    申请日：2021-10-15

    Applicant: Verdant Robotics, Inc.

    Inventor： Gabriel Thurston Sibley ,  Patrick Christopher Leger ,  Wisit Jirattigalochote ,  Curtis Dale Garner

    IPC: A01M7/00 ,  B05B12/12 ,  B05B13/04 ,  A01C23/04 ,  A01C23/00

    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system uses a treatment unit for spraying fluid at agricultural objects. The treatment unit is configured with a treatment head assembly that includes a moveable treatment head with one or more spraying tips. A first and second motor assembly are operated by the treatment unit to control the movement of the treatment head. The first motor assembly includes a first motor rotatable in a first rotational axis. A first linkage assembly is connected to the first motor and the treatment head assembly. The first linkage assembly is rotatable by the first motor. The second linkage assembly is rotatable by the second motor.

    Managing stages of growth of a crop with micro-precision via an agricultural treatment delivery system
    36.
    发明授权
    Managing stages of growth of a crop with micro-precision via an agricultural treatment delivery system 有权

    公开(公告)号：US12262663B2

    公开(公告)日：2025-04-01

    申请号：US16724268

    申请日：2019-12-21

    Applicant: Verdant Robotics, Inc.

    Inventor： Gabriel Thurston Sibley ,  Curtis Dale Garner ,  Andre Robert Daniel Michelin ,  Lorenzo Ibarria ,  Patrick Christopher Leger ,  Benjamin Rewis ,  Shi Yan

    IPC: A01G17/00 ,  G06T7/00

    Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include identifying an agricultural object being associated with a subset of agricultural objects, identifying an action corresponding to a subset of agricultural objects responsive, selecting an emitter with which to perform an action associated with the agricultural object, configuring an agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept an agricultural object.

    Detecting and tracking features of plants for treatment in an agricultural environment
    37.
    发明授权
    Detecting and tracking features of plants for treatment in an agricultural environment 有权

    公开(公告)号：US12245534B2

    公开(公告)日：2025-03-11

    申请号：US18615920

    申请日：2024-03-25

    Applicant: Verdant Robotics, Inc.

    Inventor： Gabriel Thurston Sibley ,  Lorenzo Ibarria ,  Curtis Dale Garner ,  Patrick Christopher Leger ,  Dustin James Webb

    IPC: A01B69/00 ,  A01B79/00 ,  G05D1/00 ,  G05D1/249 ,  G06N3/08 ,  G06T7/194

    Abstract: A method and system having instructions to perform actions include obtaining images of an agricultural environment including a first image comprising at least one background portion and one or more regions of interest, implementing a machine learning (ML) algorithm on a portion of the first image including a portion of the background portion and the one or more regions of interest, detecting a plurality of objects associated with a plurality of real-world objects in the agricultural environment in at least one region of interest in the one or more regions of interest of the first image including detecting a first object and detecting a second object, implementing a second algorithm on the portion of the first image comprising the first object to detect one or more divided features of the first object, tracking a feature of the one or more divided features across subsequent images as the moving platform traverses the agricultural environment, tracking the second object, and selecting a target action configured to target the second object and applying the target action via the target mechanism to the second object.

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