Detecting plugging of ground-engaging tools of an agricultural implement from imagery of a field using a machine-learned classification model
US11250300B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2019 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Jan 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/241
- WIPO fieldOther special machines
- WIPO sectorMechanical engineering
Abstract
A computing system may be configured to perform operations including obtaining image data depicting a flow of soil around a ground-engaging tool of an agricultural implement as the ground-engaging tool is moved through the soil. Furthermore, the operations may include extracting a set of features from the obtained image data. Moreover, the operations may include inputting the set of features into the machine-learned classification model and receiving a soil flow classification of the set of features as an output of the machine-learned classification model. In addition, the operations may include determining when the ground-engaging tool is plugged based on the soil flow classification of the set of features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.