Invention Grant
- Patent Title: Automatically detecting outlier values in harvested data
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Application No.: US15234920Application Date: 2016-08-11
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Publication No.: US10238028B2Publication Date: 2019-03-26
- Inventor: Yiqun Li , Jeffrey Gerard
- Applicant: THE CLIMATE CORPORATION
- Applicant Address: US CA San Francisco
- Assignee: The Climate Corporation
- Current Assignee: The Climate Corporation
- Current Assignee Address: US CA San Francisco
- Agency: Hickman Palermo Becker Bingham LLP
- Agent Malgorzata A. Kulczycka
- Main IPC: A01D41/127
- IPC: A01D41/127 ; G06F17/30 ; G06Q10/06 ; G06F17/18 ; G06Q50/02 ; G06T11/20

Abstract:
In an embodiment, a method comprises determining, in received yield data, one or more passes, each pass including a plurality of observations. For each pass of the one or more passes, one or more discrete derivatives are determined, and based on the one or more discrete derivatives first outlier data is generated. First filtered data is generated by removing the first outlier data from the yield data. Furthermore, for each observation in the yield data, a plurality of nearest neighbor observations is determined, and used to determine a plurality of absolute differences in yield values. Based on the plurality of absolute differences, second outlier data is determined. Second filtered data is generated by removing the second outlier data from the first filtered data. Using a presentation layer of a computer system, a graphical representation of the second filtered data is generated and displayed on the computing system.
Public/Granted literature
- US20180042174A1 AUTOMATICALLY DETECTING OUTLIER VALUES IN HARVESTED DATA Public/Granted day:2018-02-15
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