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    PREDICTING CLIMATE CONDITIONS BASED ON TELECONNECTIONS
    1.
    发明申请
    PREDICTING CLIMATE CONDITIONS BASED ON TELECONNECTIONS 审中-公开

    公开(公告)号：WO2021262279A1

    公开(公告)日：2021-12-30

    申请号：PCT/US2021/026003

    申请日：2021-04-06

    Applicant: X DEVELOPMENT LLC

    Inventor： MA, Hongxu ,  YUAN, Kunxiaojia ,  LI, Fa ,  LEROY, Charlotte ,  BRONEVETSKY, Grigory

    IPC: G06Q10/04 ,  G06Q50/02 ,  G01W1/02 ,  G01W1/10 ,  G01W1/14 ,  G06N20/00

    Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.

    PREDICTING GEOSPATIAL MEASURES
    2.
    发明申请
    PREDICTING GEOSPATIAL MEASURES 审中-公开

    公开(公告)号：WO2022191973A1

    公开(公告)日：2022-09-15

    申请号：PCT/US2022/016784

    申请日：2022-02-17

    Applicant: X DEVELOPMENT LLC

    Inventor： BRONEVETSKY, Grigory ,  LEROY, Charlotte ,  NI, Bin ,  MA, Hongxu ,  MAI, Gengchen

    IPC: G06Q10/04 ,  G06Q50/02 ,  G01W1/10 ,  G06F30/27

    Abstract: Implementations are described herein for leveraging teleconnections and location embeddings to predict geospatial measures for a geographic location of interest. In various implementations, a plurality of reference geographic locations may be identified that are disparate from a geographic location of interest and influence a geospatial measure in the geographic location of interest. One or more features may be extracted from each of the plurality of reference geographic locations. The extracted features and a location embedding generated for the geographic location of interest may be encoded into a joint embedding. A sequence encoder may be applied to the joint embedding to generate encoded data indicative of the predicted geospatial measure.

    SEGMENTATION TO IMPROVE CHEMICAL ANALYSIS
    3.
    发明申请
    SEGMENTATION TO IMPROVE CHEMICAL ANALYSIS 审中-公开

    公开(公告)号：WO2023003726A1

    公开(公告)日：2023-01-26

    申请号：PCT/US2022/036826

    申请日：2022-07-12

    Applicant: X DEVELOPMENT LLC

    Inventor： MA, Hongxu ,  ZHAO, Allen Richard ,  BEHROOZI, Cyrus ,  WERDENBERG, Derek ,  JACQUOT, Jie ,  TSCHERNEZKI, Vadim

    IPC: G06V10/58

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image segmentation and chemical analysis using machine learning. In some implementations, a system obtains a hyperspectral image that includes a representation of an object. The system segments the hyperspectral image to identify regions of a particular type on the object. The system generates a set of feature values derived from image data for different wavelength bands that is located in the hyperspectral image in the identified regions of the particular type. The system generates a prediction of a level of one or more chemicals in the object based on an output produced by a machine learning model in response to the set of feature values being provided as input to the machine learning model. The system provides data indicating the prediction of the level of the one or more chemicals in the object.

    INDIVIDUAL PLANT RECOGNITION AND LOCALIZATION
    4.
    发明申请
    INDIVIDUAL PLANT RECOGNITION AND LOCALIZATION 审中-公开

    公开(公告)号：WO2020263979A1

    公开(公告)日：2020-12-30

    申请号：PCT/US2020/039358

    申请日：2020-06-24

    Applicant: X DEVELOPMENT LLC

    Inventor： YANG, Jie ,  YUAN, Zhiqiang ,  MA, Hongxu ,  GUO, Cheng-en ,  GRANT, Elliott ,  LI, Yueqi

    IPC: G06K9/00 ,  G06K9/32 ,  G06K9/62 ,  G06N3/00 ,  G06T7/00

    Abstract: Implementations are described herein for training and applying machine learning models to digital images capturing plants, and to other data indicative of attributes of individual plants captured in the digital images, to recognize individual plants in distinction from other individual plants. In various implementations, a digital image that captures a first plant of a plurality of plants may be applied, along with additional data indicative of an additional attribute of the first plant observed when the digital image was taken, as input across a machine learning model to generate output. Based on the output, an association may be stored in memory, e.g. , of a database, between the digital image that captures the first plant and one or more previously-captured digital images of the first plant.

    GENERATION OF SYNTHETIC HIGH-ELEVATION DIGITAL IMAGES FROM TEMPORAL SEQUENCES OF HIGH-ELEVATION DIGITAL IMAGES
    5.
    发明申请
    GENERATION OF SYNTHETIC HIGH-ELEVATION DIGITAL IMAGES FROM TEMPORAL SEQUENCES OF HIGH-ELEVATION DIGITAL IMAGES 审中-公开

    公开(公告)号：WO2020081902A1

    公开(公告)日：2020-04-23

    申请号：PCT/US2019/056883

    申请日：2019-10-18

    Applicant: X DEVELOPMENT LLC

    Inventor： YANG, Jie ,  GUO, Cheng-en ,  YUAN, Zhiqiang ,  GRANT, Elliott ,  MA, Hongxu

    IPC: G06T3/40

    Abstract: Implementations relate to detecting/replacing transient obstructions from high-elevation digital images, and/or to fusing data from high-elevation digital images having different spatial, temporal, and/or spectral resolutions. In various implementations, first and second temporal sequences of high-elevation digital images capturing a geographic area may be obtained. These temporal sequences may have different spatial, temporal, and/or spectral resolutions (or frequencies). A mapping may be generated of the pixels of the high-elevation digital images of the second temporal sequence to respective sub-pixels of the first temporal sequence. A point in time at which a synthetic high-elevation digital image of the geographic area may be selected. The synthetic high-elevation digital image may be generated for the point in time based on the mapping and other data described herein.

    IMPROVING SAMPLE SEGMENTATION
    7.
    发明申请
    IMPROVING SAMPLE SEGMENTATION 审中-公开

    公开(公告)号：WO2023003709A1

    公开(公告)日：2023-01-26

    申请号：PCT/US2022/036556

    申请日：2022-07-08

    Applicant: X DEVELOPMENT LLC

    Inventor： MA, Hongxu ,  ZHAO, Allen Richard ,  BEHROOZI, Cyrus ,  WERDENBERG, Derek ,  JACQUOT, Jie ,  TSCHERNEZKI, Vadim

    IPC: G06V10/58

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.

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