- 专利标题: PREDICTING AND CORRECTING VEGETATION STATE
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申请号: US16658533申请日: 2019-10-21
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公开(公告)号: US20210118117A1公开(公告)日: 2021-04-22
- 发明人: Conrad M. Albrecht , Hendrik F. Hamann , Levente Klein , Siyuan Lu , Sharathchandra Pankanti , Wang Zhou
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G06N5/04 ; G06N20/00 ; G06N3/08 ; G06K9/00 ; G06K9/62
摘要:
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.
公开/授权文献
- US11436712B2 Predicting and correcting vegetation state 公开/授权日:2022-09-06
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