Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field
US11593674B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2019 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Aug 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.