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    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION
    2.
    发明申请
    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION 审中-公开

    公开(公告)号：US20170109395A1

    公开(公告)日：2017-04-20

    申请号：US14883517

    申请日：2015-10-14

    Applicant: The Climate Corporation

    Inventor： MARIAN FARAH

    IPC: G06F17/30

    CPC classification number: G06F17/30368 ,  G06F17/30554 ,  G06Q50/02

    Abstract: A method and system for decontaminating raw yield maps by combining filters with spatial outlier detectors is provided. In an embodiment, the method comprises receiving over a computer network electronic digital data comprising first yield data representing crop yields harvested from an agricultural field; applying one or more filters to the first yield data to identify, from the first yield data, first outlier data; generating first filtered data from the first yield data by removing the first outlier data from the first yield data; identifying, in the first filtered data, second outlier data representing outlier values based on one or more outlier characteristics; generating second outlier data from the first filtered data by removing the second outlier data from the first filtered data; generating and causing displaying on a mobile computing device a graphical representation of the crop yields harvested from the agricultural field using only the second outlier data.

    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION
    3.
    发明申请
    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION 有权

    公开(公告)号：US20210271661A1

    公开(公告)日：2021-09-02

    申请号：US17314439

    申请日：2021-05-07

    Applicant: THE CLIMATE CORPORATION

    Inventor： MARIAN FARAH

    IPC: G06F16/23 ,  G06F16/248 ,  G06Q50/02 ,  G06Q10/06

    Abstract: A method and system for decontaminating raw yield maps by combining filters with spatial outlier detectors is provided. In an embodiment, the method comprises receiving over a computer network electronic digital data comprising first yield data representing crop yields harvested from an agricultural field; applying one or more filters to the first yield data to identify, from the first yield data, first outlier data; generating first filtered data from the first yield data by removing the first outlier data from the first yield data; identifying, in the first filtered data, second outlier data representing outlier values based on one or more outlier characteristics; generating second outlier data from the first filtered data by removing the second outlier data from the first filtered data; generating and causing displaying on a mobile computing device a graphical representation of the crop yields harvested from the agricultural field using only the second outlier data.

    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION
    4.
    发明申请
    COMPUTER-GENERATED ACCURATE YIELD MAP DATA USING EXPERT FILTERS AND SPATIAL OUTLIER DETECTION 审中-公开

    公开(公告)号：US20190243817A1

    公开(公告)日：2019-08-08

    申请号：US16288738

    申请日：2019-02-28

    Applicant: THE CLIMATE CORPORATION

    Inventor： MARIAN FARAH

    IPC: G06F16/23 ,  G06F16/248 ,  G06Q50/02 ,  G06Q10/06

    CPC classification number: G06F16/2358 ,  G06F16/248 ,  G06Q10/0639 ,  G06Q50/02

    Abstract: A method and system for decontaminating raw yield maps by combining filters with spatial outlier detectors is provided. In an embodiment, the method comprises receiving over a computer network electronic digital data comprising first yield data representing crop yields harvested from an agricultural field; applying one or more filters to the first yield data to identify, from the first yield data, first outlier data; generating first filtered data from the first yield data by removing the first outlier data from the first yield data; identifying, in the first filtered data, second outlier data representing outlier values based on one or more outlier characteristics; generating second outlier data from the first filtered data by removing the second outlier data from the first filtered data; generating and causing displaying on a mobile computing device a graphical representation of the crop yields harvested from the agricultural field using only the second outlier data.

    CROP DISEASE RECOGNITION AND YIELD ESTIMATION
    5.
    发明申请
    CROP DISEASE RECOGNITION AND YIELD ESTIMATION 审中-公开

    公开(公告)号：US20190066234A1

    公开(公告)日：2019-02-28

    申请号：US15688567

    申请日：2017-08-28

    Applicant: THE CLIMATE CORPORATION

    Inventor： JUAN PABLO BEDOYA ,  VICTOR STUBER ,  GERARD GUILLEMETTE ,  JOOST KEMINK ,  YAQI CHEN ,  DANIEL WILLIAMS ,  YING SHE ,  MARIAN FARAH ,  JULIAN BOSHARD ,  WEI GUAN

    IPC: G06Q50/02 ,  G06K9/46 ,  G06K9/68 ,  A01D41/127 ,  G01D21/02

    Abstract: In an embodiment, a method of real-time disease recognition in a crop field is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images. The method further comprises causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.

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