Automatically detecting outlier values in harvested data
US10694669B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2019 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | Feb 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/206
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.