System and method for horticulture viability prediction and display
US11748984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2021 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Feb 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/041
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. The application, operating on a smart phone, utilizes onboard GPS, user input, and camera subsystems to customize plant care tips specific to a yard location and plant type. Images may be submitted to the server to identify a plant type through convolutional neural network image recognition. The invention uses another artificial neural network to predict a plant's viability score. The server receives input, such as plant type, soil type, yard location, and amount of sunlight, and the server retrieves local climactic data and plant type optimal values to return the plant's viability score for the selected location. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.