Remote sensing interpretation
US12315249B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Dec 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations are described herein for obtaining a sequence of high-elevation images capturing a particular geographic area during a particular time period in a plurality of spectral bands; applying the sequence of high-elevation images as input to upstream machine learning model(s) to generate remote sensing embeddings indicating terrain feature(s) of the particular geographic area; applying agricultural data obtained from a local agricultural knowledge graph as input to additional upstream machine learning model(s) to generate agricultural knowledge embedding(s); inferring a natural-language description of a status of the particular geographic area based on generating: an aggregate representative embedding that semantically represents a plurality of agricultural conditions of the particular geographic area, and a natural-language description of one or more of the plurality of agricultural conditions of the particular area using a large language model; and causing a user device associated with an agricultural entity to present the natural-language description of the status.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.