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A Problem-Solving Process Model for Learning Intellectual Property Law Using Logic Expression: Application from a Proposition to a Predicate Logic Read chapter Read first chapter

2017 | OriginalPaper | Chapter

An AR Application for Wheat Breeders

Authors : Kaitlyn Becker, Frederic Parke, Bruce Gooch

Published in: Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration

Publisher: Springer International Publishing

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Abstract

We report on an Augmented Reality interface to speed the workflow of food crop breeders. The goals of the interface are to make data collection in the field more efficient to accelerate the breeding cycle. For hardware combine the Recon Jet sports computer sunglasses and a Neutab N7 Android tablet. For software, we augment the Kansas State University open source Fieldbook application with barcode reading capability, a speech recognition interface, and information displays. We design and evaluate the application using a cohort of wheat breeders.

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previous chapter Using Virtual Reality to Assess the Elderly: The Impact of Human-Computer Interfaces on Cognition
next chapter A New Experience Presentation in VR2.0
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Flanagan, J.L.: Speech Analysis Synthesis and Perception, pp. 166–167. Springer, Heidelberg (1965). Speech-to-Text (EARS). Electronic Frontier Foundation, n.d. Web, 05 November 2015. EpiCollect. Computer software. EpiCollect.net. Wellcome Trust, n.d. Web, 30 June 2015CrossRef
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Metadata
Title
An AR Application for Wheat Breeders
Authors
Kaitlyn Becker
Frederic Parke
Bruce Gooch
Copyright Year
2017
Book
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration

Print ISBN: 978-3-319-58523-9

Electronic ISBN: 978-3-319-58524-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58524-6_11