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    Crop type classification in images
    1.
    发明授权
    Crop type classification in images 有权

    公开(公告)号：US11321943B2

    公开(公告)日：2022-05-03

    申请号：US17162806

    申请日：2021-01-29

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Jie Yang ,  Elliott Grant

    IPC: G06V20/10 ,  G06N7/00 ,  G06N3/08 ,  G06N20/20 ,  G06T7/174 ,  G06K9/62 ,  G06V10/30 ,  G06V10/44 ,  G06V20/13 ,  G06Q50/02

    Abstract: In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting one or more crop types growing in each of particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining a crop type classification for each of the particular locations based on the predicted one or more crop types for the respective particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indications of the crop type classification determined for the respective particular locations.

    CROP TYPE CLASSIFICATION IN IMAGES
    5.
    发明申请
    CROP TYPE CLASSIFICATION IN IMAGES 审中-公开

    公开(公告)号：US20190228224A1

    公开(公告)日：2019-07-25

    申请号：US16218305

    申请日：2018-12-12

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Jie Yang ,  Elliott Grant

    IPC: G06K9/00 ,  G06N7/00 ,  G06N3/08 ,  G06T7/174 ,  G06N20/20

    Abstract: In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting one or more crop types growing in each of particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining a crop type classification for each of the particular locations based on the predicted one or more crop types for the respective particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indications of the crop type classification determined for the respective particular locations.

    PREDICTING SOIL ORGANIC CARBON CONTENT
    6.
    发明申请
    PREDICTING SOIL ORGANIC CARBON CONTENT 有权

    公开(公告)号：US20220217894A1

    公开(公告)日：2022-07-14

    申请号：US17147048

    申请日：2021-01-12

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Jie Yang ,  Zhiqiang Yuan ,  Elliott Grant

    IPC: A01B79/00 ,  G01N33/24 ,  G06K9/00 ,  G06T7/00

    Abstract: Implementations are described herein for predicting soil organic carbon (“SOC”) content for agricultural fields detected in digital imagery. In various implementations, one or more digital images depicting portion(s) of one or more agricultural fields may be processed. The one or more digital images may have been acquired by a vision sensor carried through the field(s) by a ground-based vehicle. Based on the processing, one or more agricultural inferences indicating agricultural practices or conditions predicted to affect SOC content may be determined. Based on the agricultural inferences, one or more predicted SOC measurements for the field(s) may be determined.

    Analyzing operational data influencing crop yield and recommending operational changes
    7.
    发明授权
    Analyzing operational data influencing crop yield and recommending operational changes 有权

    公开(公告)号：US10949972B2

    公开(公告)日：2021-03-16

    申请号：US16236743

    申请日：2018-12-31

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Wilson Zhao ,  Jie Yang ,  Zhiqiang Yuan ,  Elliott Grant

    IPC: G06T7/00 ,  G06T5/50 ,  G06T7/143 ,  A01D41/127 ,  G06K9/00 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/04 ,  G06Q50/02

    Abstract: Implementations relate to diagnosis of crop yield predictions and/or crop yields at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that captures a geographic area over a given time interval through a crop cycle of a first type of crop. Ground truth operational data generated through the given time interval and that influences a final crop yield of the first geographic area after the crop cycle may also be obtained. Based on these data, a ground truth-based crop yield prediction may be generated for the first geographic area at the crop cycle's end. Recommended operational change(s) may be identified based on distinct hypothetical crop yield prediction(s) for the first geographic area. Each distinct hypothetical crop yield prediction may be generated based on hypothetical operational data that includes altered data point(s) of the ground truth operational data.

    ANALYZING DATA INFLUENCING CROP YIELD AND RECOMMENDING OPERATIONAL CHANGES
    8.
    发明申请
    ANALYZING DATA INFLUENCING CROP YIELD AND RECOMMENDING OPERATIONAL CHANGES 有权

    公开(公告)号：US20230140138A1

    公开(公告)日：2023-05-04

    申请号：US18089337

    申请日：2022-12-27

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Wilson Zhao ,  Jie Yang ,  Zhiqiang Yuan ,  Elliott Grant

    IPC: G06T3/40 ,  G06T7/00 ,  A01D41/127 ,  G06T5/50 ,  G06T7/143 ,  G06N3/08 ,  G06Q10/04 ,  G06Q50/02 ,  G06V20/10 ,  G06N3/047 ,  G06V10/82 ,  G06V20/13

    Abstract: Implementations relate to diagnosis of crop yield predictions and/or crop yields at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that captures a geographic area over a given time interval through a crop cycle of a first type of crop. Ground truth operational data generated through the given time interval and that influences a final crop yield of the first geographic area after the crop cycle may also be obtained. Based on these data, a ground truth-based crop yield prediction may be generated for the first geographic area at the crop cycle's end. Recommended operational change(s) may be identified based on distinct hypothetical crop yield prediction(s) for the first geographic area. Each distinct hypothetical crop yield prediction may be generated based on hypothetical operational data that includes altered data point(s) of the ground truth operational data.

    Analyzing operational data influencing crop yield and recommending operational changes
    9.
    发明授权
    Analyzing operational data influencing crop yield and recommending operational changes 有权

    公开(公告)号：US11562486B2

    公开(公告)日：2023-01-24

    申请号：US17160928

    申请日：2021-01-28

    Applicant: X Development LLC

    Inventor： Cheng-en Guo ,  Wilson Zhao ,  Jie Yang ,  Zhiqiang Yuan ,  Elliott Grant

    IPC: G06T7/00 ,  G06V20/13 ,  A01D41/127 ,  G06T5/50 ,  G06T7/143 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/04 ,  G06Q50/02 ,  G06V20/10

    Abstract: Implementations relate to diagnosis of crop yield predictions and/or crop yields at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that captures a geographic area over a given time interval through a crop cycle of a first type of crop. Ground truth operational data generated through the given time interval and that influences a final crop yield of the first geographic area after the crop cycle may also be obtained. Based on these data, a ground truth-based crop yield prediction may be generated for the first geographic area at the crop cycle's end. Recommended operational change(s) may be identified based on distinct hypothetical crop yield prediction(s) for the first geographic area. Each distinct hypothetical crop yield prediction may be generated based on hypothetical operational data that includes altered data point(s) of the ground truth operational data.

    Field segmentation and classification
    10.
    发明授权
    Field segmentation and classification 有权

    公开(公告)号：US11367278B2

    公开(公告)日：2022-06-21

    申请号：US16817937

    申请日：2020-03-13

    Applicant: X Development LLC

    Inventor： Alex Wilson ,  Christopher Edward Bacon ,  Jie Yang ,  Cheng-en Guo

    IPC: G06V20/10 ,  G06K9/62 ,  G06N3/04 ,  G06V10/82 ,  G06T7/12

    Abstract: Implementations relate to improved crop field segmentation and crop classification in which boundaries between crop fields are more accurately detected. In various implementations, high-elevation image(s) that capture an area containing multiple demarcated fields may be applied as input across one or more machine learning models to generate a boundary enhancement channel. Each pixel of the boundary enhancement channel may be spatially aligned with a corresponding pixel of the one or more high-elevation images. Moreover, each pixel of the boundary enhancement channel may be classified with a unit angle to a reference location of the field of the multiple demarcated fields that contains the pixel. Based on the boundary enhancement channel, pixel-wise field memberships of pixels of the one or more high-elevation images in the multiple demarcated fields may be determined.

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