Systems and methods for quantifying agroecosystem variables through multi-tier scaling from ground data, to mobile platforms, and to satellite observations
US12374104B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 9, 2021 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Jul 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The ability to scale data can provide numerous advantages, especially with regard to agricultural information. For example, agroecosystems include land and data associated with the land, such as physical traits and information. This can include, for example, information related to the soil, crops, other vegetation, and other information related to the land. In order to be able to quickly and accurately know such information and traits, ground truth data can be scaled using aerial and/or satellite imagery. Models and other machine learning can utilize ground truth data to scale limited field area data (e.g., 0.1-1 km) and accurately apply the same to large swaths of land (e.g., >100 km2) with accuracy for the field traits and/or characteristics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.