Predicting horticultural yield for a field location using multi-band aerial imagery
US11900671B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | May 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30188
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosed technologies are capable of inputting, to a machine-learned classifier that has been created using a set of neural network-based models, multi-band digital image data that represents an aerial view of an agricultural field location containing an horticultural product; outputting, by the classifier, annotated image data, the annotated image data comprising annotation data indicative of individual instances of the horticultural product in the agricultural field location; using the annotated image data, computing a first predicted yield for the agricultural field location; adjusting the first predicted yield by a scaling factor to produce a second predicted yield for the agricultural field location.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.