Modeling and prediction of below-ground performance of agricultural biological products in precision agriculture
US11195109B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2020 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Apr 29, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A40/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A below-ground agricultural biological performance modeling approach in precision agriculture combines customized field modeling with machine learning techniques for environmental matching of variables to describe a below-surface soil state, to understand and predict the performance of soil-active agricultural biological products such as bio-pesticides, bio-stimulants, plant growth regulators, and other biologically-derives soil adjuvants. The modeling approach characterizes the influence of environmental relationships on the performance of such soil-active agricultural biological products to develop a suite of predictive models to provide notifications, advisories, and recommendations for appropriate products for individual fields.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.