-
公开(公告)号：US20190200535A1
公开(公告)日：2019-07-04
申请号：US15857512
申请日：2017-12-28
Applicant: X Development LLC
Inventor： William R. Regan , Matthew A. Bitterman , Benoit G. Schillings , David R. Brown , Elliott Grant
CPC classification number: A01G7/00 , B64C39/024 , B64C2201/127 , G06K9/00657 , G06N3/04 , G06N3/0445 , G06N3/0454 , G06N3/08
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.
-
公开(公告)号：US11606896B2
公开(公告)日：2023-03-21
申请号：US17147048
申请日：2021-01-12
Applicant: X Development LLC
Inventor： Cheng-en Guo , Jie Yang , Zhiqiang Yuan , Elliott Grant
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.
-
公开(公告)号：US11553634B2
公开(公告)日：2023-01-17
申请号：US16589833
申请日：2019-10-01
Applicant: X Development LLC
Inventor： Elliott Grant , Hongxiao Liu , Zhiqiang Yuan , Sergey Yaroshenko , Benoit Schillings , Matt VanCleave
Abstract: Implementations are described herein for analyzing vision data depicting undesirable plants such as weeds to detect various attribute(s). The detected attribute(s) of a particular undesirable plant may then be used to select, from a plurality of available candidate remediation techniques, the most suitable remediation technique to eradicate or otherwise eliminate the undesirable plants.
-
公开(公告)号：US11510405B2
公开(公告)日：2022-11-29
申请号：US16543111
申请日：2019-08-16
Applicant: X Development LLC
Inventor： Elliott Grant
Abstract: Implementations set forth herein relate to using fiducial markings on one or more localized portions of an agricultural apparatus in order to generate local and regional data that can be correlated for planning and executing agricultural maintenance. An array of fiducial markings can be disposed onto plastic mulch that surrounds individual crops, in order that each fiducial marking of the array can operate as a signature for each individual crop. Crop data, such as health and yield, corresponding to a particular crop can then be stored in association with a corresponding fiducial marking, thereby allowing the certain data for the particular crop to be tracked and analyzed. Furthermore, autonomous agricultural devices can rely on the crop data, over other sources of data, such as GPS satellites, thereby allowing the autonomous agricultural devices to be more reliable.
-
公开(公告)号：US11501443B2
公开(公告)日：2022-11-15
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 , G06T5/50 , G06T7/143 , G06N3/04 , G06N3/08 , G06Q10/04 , G06Q50/02 , G06V20/13 , G06V20/10
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.
-
Patent Agency Ranking
公开(公告)号：US11285612B2
公开(公告)日：2022-03-29
申请号：US16545441
申请日：2019-08-20
Applicant: X Development LLC
Inventor： Zhiqiang Yuan , Elliott Grant
Abstract: Implementations are described herein for coordinating semi-autonomous robots to perform agricultural tasks on a plurality of plants with minimal human intervention. In various implementations, a plurality of robots may be deployed to perform a respective plurality of agricultural tasks. Each agricultural task may be associated with a respective plant of a plurality of plants, and each plant may have been previously designated as a target for one of the agricultural tasks. It may be determined that a given robot has reached an individual plant associated with the respective agricultural task that was assigned to the given robot. Based at least in part on that determination, a manual control interface may be provided at output component(s) of a computing device in network communication with the given robot. The manual control interface may be operable to manually control the given robot to perform the respective agricultural task.
-
公开(公告)号：US20210150717A1
公开(公告)日：2021-05-20
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 , A01D41/127 , G06K9/00 , G06T5/50 , G06T7/143 , 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.
-
公开(公告)号：US20210150207A1
公开(公告)日：2021-05-20
申请号：US17138737
申请日：2020-12-30
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.
-
公开(公告)号：US20210092891A1
公开(公告)日：2021-04-01
申请号：US16589833
申请日：2019-10-01
Applicant: X Development LLC
Inventor： Elliott Grant , Hongxiao Liu , Zhiqiang Yuan , Sergey Yaroshenko , Benoit Schillings , Matt VanCleave
Abstract: Implementations are described herein for analyzing vision data depicting undesirable plants such as weeds to detect various attribute(s). The detected attribute(s) of a particular undesirable plant may then be used to select, from a plurality of available candidate remediation techniques, the most suitable remediation technique to eradicate or otherwise eliminate the undesirable plants.
-
公开(公告)号：US10909368B2
公开(公告)日：2021-02-02
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 , G06N20/20 , G06T7/174 , G06K9/46 , G06K9/40 , G06K9/62 , 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.
-
-
-
-
-
-
-
-
-
Search Results
48
records
(took 0.038 seconds)
