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An AR application for wheat breeders

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2017) 10274 LNCS 124-133
DOI: 10.1007/978-3-319-58524-6_11
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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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Becker, K., Parke, F., & Gooch, B. (2017). An AR application for wheat breeders. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10274 LNCS, pp. 124–133). Springer Verlag. https://doi.org/10.1007/978-3-319-58524-6_11

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