Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field
US11568467B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 9, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Oct 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/126
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of products grown in fields and raw field features of the fields. The method also includes transforming the raw field features into distinct feature classes that characterize key features affecting yield of the one or more products, and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between one or more products, yield properties of the one or more products, and field features associated with the one or more products. Further, the method includes generating, based at least in part on the genomic-by-environmental relationships, predicted yield performance for a set of products associated with one or more target environments, generating product recommendations for the one or more target environments based on the predicted yield performance for the set of products, and providing one or more instructions configured to cause display of the product recommendations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.