Planttagg, Inc.

Bradley W Bauer

Andrew E Levi

George R Schultz

Shawn Gentry

A system and method is disclosed for plant maintenance, identification and viability scoring. An application is located on consumer devices connected to the server. 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 or optionally, arrives at a correlation value based on a fast abbreviation set of the plant profile and third party data. The server compares plant related input and local climactic data to determine the plant's viability score. Another aspect of the invention generates and displays an augmented reality display of a plant in the user's yard.

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Salt Lake City, UT, United States of America

Bradley W Bauer