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INDIVIDUALIZED AND CUSTOMIZED PLANT MANAGEMENT USING AUTONOMOUS SWARMING DRONES AND ARTIFICIAL INTELLIGENCE

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国家林业和草原科学数据中心2023-02-12 更新2024-03-07 收录
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The present disclosure generally relates to a system and method for providing individualized management for a plurality of plants. An exemplary system comprises a plurality of drones including a first drone, a docking station, and a server. The first drone is assigned to a first plant of the plurality of plants and is configured to accommodate a plurality of combinations of drone attachments. The docking station comprises a plurality of drone attachments. The server includes a database related to the plurality of plants. The database includes location information associated with the first plant. The first drone is further configured to: make a plurality of visits to the first plant, gather plant-specific information associated with the first plant, obtain a prescription based on the plant-specific information, wherein the prescription is associated with one or more requirements, based on the prescription, provide care to the first plant. The present disclosure generally relates to a system and method for providing individualized management for a plurality of plants. An exemplary system comprises a plurality of drones including a first drone, a docking station, and a server. The first drone is assigned to a first plant of the plurality of plants and is configured to accommodate a plurality of combinations of drone attachments. The docking station comprises a plurality of drone attachments. The server includes a database related to the plurality of plants. The database includes location information associated with the first plant. The first drone is further configured to: make a plurality of visits to the first plant, gather plant-specific information associated with the first plant, obtain a prescription based on the plant-specific information, wherein the prescription is associated with one or more requirements, based on the prescription, provide care to the first plant.
提供机构:
国家林业和草原科学数据中心
创建时间:
2023-02-12
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