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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.
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公开(公告)号：US11321347B1
公开(公告)日：2022-05-03
申请号：US17075242
申请日：2020-10-20
Applicant: X Development LLC
Inventor： David Clifford , Ming Zheng , Elliott Grant , Nanzhu Wang , Cheng-en Guo , Aleksandra Deis
IPC: G06F16/29 , G06Q50/02 , G06F3/0484 , G06F16/906 , G06F16/28 , G06Q10/06 , G06F16/26 , G06F16/9038 , G06F16/904 , G06F16/248 , G06K9/62 , G06F3/04847 , G06T11/20
Abstract: Some implementations herein relate to a graphical user interface (GUI) that facilitates dynamically partitioning agricultural fields into clusters on an individual agricultural field-basis using agricultural features. A map of a geographic area containing a plurality of agricultural fields may be rendered as part of a GUI. The agricultural fields may be partitioned into a first set of clusters based on a first granularity value and agricultural features of individual agricultural fields. The individual agricultural fields may be visually annotated in the GUI to convey the first set of clusters of similar agricultural fields. Upon receipt of a second granularity value different from the first granularity value, the agricultural fields may be partitioned into a second set of clusters of similar agricultural fields. The map of the geographic area may be updated so that individual agricultural fields are visually annotated to convey the second set of clusters.
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公开(公告)号：US20210256702A1
公开(公告)日：2021-08-19
申请号：US17110141
申请日：2020-12-02
Applicant: X Development LLC
Inventor： Jie Yang , Cheng-en Guo , Zhiqiang Yuan , Elliott Grant , Hongxu Ma
IPC: G06T7/00 , A01D41/127 , G06K9/00 , G06T5/50 , G06T7/143 , G06N3/04 , G06N3/08 , G06Q10/04 , G06Q50/02
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.
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Patent Agency Ranking
公开(公告)号：US20210051860A1
公开(公告)日：2021-02-25
申请号：US17087219
申请日：2020-11-02
Applicant: X Development LLC
Inventor： William R. Regan , Matthew A. Bitterman , Benoit G. Schillings , David R. Brown , Elliott Grant
Abstract: In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract one or more phenotypic traits associated with the plant from the sensor data. Indexing the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.
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公开(公告)号：US10891735B2
公开(公告)日：2021-01-12
申请号：US16242873
申请日：2019-01-08
Applicant: X Development LLC
Inventor： Jie Yang , Cheng-en Guo , Zhiqiang Yuan , Elliott Grant , Hongxu Ma
IPC: G06T7/00 , A01D41/127 , G06K9/00 , G06T5/50 , G06T7/143 , G06N3/04 , G06N3/08 , G06Q10/04 , G06Q50/02
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.
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公开(公告)号：US10820531B2
公开(公告)日：2020-11-03
申请号：US16681520
申请日：2019-11-12
Applicant: X Development LLC
Inventor： William R. Regan , Matthew A. Bitterman , Benoit G. Schillings , David R. Brown , Elliott Grant
Abstract: In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.
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公开(公告)号：US20200286282A1
公开(公告)日：2020-09-10
申请号：US16297102
申请日：2019-03-08
Applicant: X DEVELOPMENT LLC
Inventor： Elliott Grant , Yueqi Li
Abstract: Implementations are described herein for three-dimensional (“3D”) modeling of objects that target specific features of interest of the objects, and ignore other features of less interest. In various implementations, a plurality of two-dimensional (“2D”) images may be received from a 2D vision sensor. The plurality of 2D images may capture an object having multiple classes of features. Data corresponding to a first set of the multiple classes of features may be filtered from the plurality of 2D images to generate a plurality of filtered 2D images in which a second set of features of the multiple classes of features is captured. 2D-3D processing, such as structure from motion (“SFM”) processing, may be performed on the 2D filtered images to generate a 3D representation of the object that includes the second set of one or more features.
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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
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.
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