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公开(公告)号:US20240049620A1
公开(公告)日:2024-02-15
申请号:US18382987
申请日:2023-10-23
Applicant: CLIMATE LLC
Inventor: Christina BOGDAN , Daniel WILLIAMS
CPC classification number: A01B79/005 , A01C21/007 , A01C7/102
Abstract: Systems and methods for identifying operational abnormalities based on data received from an agricultural implement performing a task in an agricultural field are described herein. In an embodiment, a system receives time-series data captured from an agricultural implement performing an agronomic activity on an agricultural field, the time-series data including, for each of a plurality of timestamps, a location of the agricultural implement. The system identifies a plurality of passes in the time-series data and using the identified plurality of passes, identifies a plurality of location on the agricultural field in which the activity performed by the agricultural implement included a particular operational abnormality. The system generates a map of operational abnormalities for the agricultural field, the map of operational abnormalities including the plurality of locations on the agricultural field in which the activity performed by the agricultural implement included the particular operational abnormality.