Predicting and correcting vegetation state

    公开(公告)号:GB2602929A

    公开(公告)日:2022-07-20

    申请号:GB202205196

    申请日:2020-09-24

    Applicant: IBM

    Abstract: Methods and systems for managing vegetation include training a machine learning model based on an image of a training data region before a weather event, an image of the training data region after the weather event, and information regarding the weather event. A risk score is generated for a second region using the trained machine learning model based on an image of the second region and predicted weather information for the second region. The risk score is determined to indicate high-risk vegetation in the second region. A corrective action is performed to reduce the risk of vegetation in the second region.

    Scalable space-time density data fusion

    公开(公告)号:GB2579331A

    公开(公告)日:2020-06-17

    申请号:GB202003659

    申请日:2018-08-15

    Applicant: IBM

    Abstract: A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.

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