Computer vision-based yield-to-picking area mapping for horticultural product
US11961289B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Jul 21, 2042 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA01B79/005
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosed technologies are capable of inputting, to a machine-learned model that has been trained to recognize a horticultural product in digital imagery, digital video data comprising frames that represent a view of the horticultural product in belt-assisted transit from a picking area of a field to a harvester bin; outputting, by the machine-learned model, annotated video data; using the annotated video data, computing quantitative data comprising particular counts of the individual instances of the horticultural product associated with particular timestamp data; using the timestamp data, mapping the quantitative data to geographic location data to produce a digital yield map; causing display of the digital yield map on a field manager computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.