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    MACHINE-LEARNED OBSTRUCTION DETECTION IN A FARMING MACHINE
    3.
    发明申请
    MACHINE-LEARNED OBSTRUCTION DETECTION IN A FARMING MACHINE 有权

    公开(公告)号：US20220207881A1

    公开(公告)日：2022-06-30

    申请号：US17562919

    申请日：2021-12-27

    Applicant: Blue River Technology Inc.

    Inventor： Rahul Agrawal ,  Rajesh Radhakrishnan ,  Brent William West

    IPC: G06V20/58 ,  G06V20/70 ,  G06V40/20 ,  G06V10/70 ,  G05D1/02

    Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.

    Machine-learned obstruction detection in a farming machine
    7.
    发明授权
    Machine-learned obstruction detection in a farming machine 有权

    公开(公告)号：US11983934B2

    公开(公告)日：2024-05-14

    申请号：US17562919

    申请日：2021-12-27

    Applicant: Blue River Technology Inc.

    Inventor： Rahul Agrawal ,  Rajesh Radhakrishnan ,  Brent William West

    IPC: G06V20/58 ,  G05D1/00 ,  G06V10/70 ,  G06V20/70 ,  G06V40/20

    CPC classification number: G06V20/58 ,  G05D1/0214 ,  G06V10/70 ,  G06V20/70 ,  G06V40/25 ,  G06V40/28

    Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.

    PLANT IDENTIFICATION USING DYNAMIC CROPPING
    8.
    发明申请
    PLANT IDENTIFICATION USING DYNAMIC CROPPING 有权

    公开(公告)号：US20220058770A1

    公开(公告)日：2022-02-24

    申请号：US17405932

    申请日：2021-08-18

    Applicant: Blue River Technology Inc.

    Inventor： John William Peake ,  Rajesh Radhakrishnan

    IPC: G06T3/40 ,  A01B63/00 ,  A01B79/00

    Abstract: A farming machine identifies and treats a plant as the farming machine travels through a field. The farming machine includes an array of tiled image sensors for capturing images of the field. A control system identifies an active region in the captured images and generates a tiled image that includes the active region. The control system applies image processing functions to identify the plant in the tiled image and actuates a treatment mechanism to treat the identified plant. The control system causes the array of image sensors to capture the image, identifies the plant, and actuates the treatment mechanism in real time as the farming machine travels through the field.

    Automated plant detection using image data
    9.
    发明授权
    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

    Applicant: Blue River Technology Inc.

    Inventor： Lee Kamp Redden ,  Christopher Grant Padwick ,  Rajesh Radhakrishnan ,  James Patrick Ostrowski

    IPC: G06K9/00 ,  G06T7/00 ,  G06K9/32 ,  G06K9/62 ,  G06K9/46 ,  A01M7/00 ,  G06T7/73

    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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