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公开(公告)号：US20230368257A1
公开(公告)日：2023-11-16
申请号：US17743096
申请日：2022-05-12
Applicant: X Development LLC
Inventor： Elliott Grant , Zhiqiang Yuan
CPC classification number: G06Q30/0601 , G06N20/00 , H04L9/3213 , H04L9/50
Abstract: Implementations set forth herein relate to utilizing S2 cell values to characterize arbitrary portions of land parcels and storing the S2 cell values in association with a non-fungible token (NFT) that is stored on a blockchain network, or other peer-to-peer (P2P) network. The S2 cell values can be generated by iteratively using bounding shapes that are selected to extend over at least a portion of a respective parcel of land, and each bounding shape can be represented by one or more single dimensional values. When a generated bounding shape extends outside of a boundary of a parcel of land, subcells of the bounding shape can be generated to define further bounding shapes. A land NFT for the list of cell values for the bounding shapes can be stored at a blockchain address for an authenticated owner of the parcel of land.
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公开(公告)号：US20230161890A1
公开(公告)日：2023-05-25
申请号：US17535457
申请日：2021-11-24
Applicant: X Development LLC
Inventor： Elliott Grant
CPC classification number: G06F21/62 , G06F16/29 , G06N20/00 , G06F2221/2111
Abstract: Techniques are described herein for determining whether a particular user is authorized to access data, corresponding to a particular field, in a farmland database. A method includes: receiving a location history corresponding to a user, the location history including historical location data that indicate, for each time of a plurality of times, a location of the user at the time; applying the historical location data as inputs across a trained machine learning model to predict a persona corresponding to the user; receiving, from the user, a request to access data; in response to receiving the request to access the data, determining that the request is authorized based on the predicted persona corresponding to the user; and in response to determining that the request is authorized, providing access to the data.
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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.
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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.
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公开(公告)号：US20220122298A1
公开(公告)日：2022-04-21
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: G06T11/00 , G06Q50/02 , G06Q30/02 , G06F16/901 , G06F3/0484
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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Patent Agency Ranking
公开(公告)号：US20210150209A1
公开(公告)日：2021-05-20
申请号：US17162806
申请日：2021-01-29
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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公开(公告)号：US10930065B2
公开(公告)日：2021-02-23
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：US10885331B2
公开(公告)日：2021-01-05
申请号：US16218374
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 presence of a crop at particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining crop boundary locations within the particular portion of the geographical region based on the predicted presence of the crop at the 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 indication of crop areas, wherein the crop areas are defined by the determined crop boundary locations.
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公开(公告)号：US20200077596A1
公开(公告)日：2020-03-12
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：US20190228225A1
公开(公告)日：2019-07-25
申请号：US16218374
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 presence of a crop at particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining crop boundary locations within the particular portion of the geographical region based on the predicted presence of the crop at the 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 indication of crop areas, wherein the crop areas are defined by the determined crop boundary locations.
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