Grain quality control system and method
US11197417B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 14, 2019 |
| Grant date | Dec 14, 2021 |
| Priority date | — |
| Expiry date | Jun 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/06
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method and system for controlling the quality of harvested grains include capturing, by one or more image sensors, one or more images of material at a sampling location within a grain elevator of the combine harvester. The captured images are defined by a set of image pixels represented by image data and having a classification feature indicative of grain or non-grain material. One or more controllers receive the image data associated with the one or more images captured by the image sensor(s) and select a sample image defined by a subset of image pixels of the set of image pixels. The controller(s) apply a convolutional neural network (CNN) algorithm to the image data of the subset of image pixels of the selected sample image to determine the classification feature. The controller(s) analyze the determined classification feature to adjust an operational parameter of the combine harvester.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.