AI-optimized harvester configured to maximize yield and minimize impurities
US11864494B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Dec 12, 2019 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Oct 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30188
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.