Comparison of services for the recognition of flora images: uses in augmented reality and tourism

Tourism information services are evolving rapidly. With Internet, tourists organize their trips by managing information before arriving at their destination. Nature is the main tourist attraction in Argentina. However, the information tools as field guides, have had few improvements in their digital...

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Autores principales: Feierherd, Guillermo Eugenio, González, Federico, Viera, Leonel, Soler, Rosina, Romano, Lucas, Delía, Lisandro Nahuel, Depetris, Beatriz O.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
tourism
smart tourist destinations
smart cities
foliar morphology
Nothofagus
augmented reality
artificial intelligence
image recognition
computer vision
IBM Watson
Microsoft Azure
Google Cloud
Amazon Web Services
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/73668
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-73668
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
tourism
smart tourist destinations
smart cities
foliar morphology
Nothofagus
augmented reality
artificial intelligence
image recognition
computer vision
IBM Watson
Microsoft Azure
Google Cloud
Amazon Web Services
spellingShingle Ciencias Informáticas
tourism
smart tourist destinations
smart cities
foliar morphology
Nothofagus
augmented reality
artificial intelligence
image recognition
computer vision
IBM Watson
Microsoft Azure
Google Cloud
Amazon Web Services
Feierherd, Guillermo Eugenio
González, Federico
Viera, Leonel
Soler, Rosina
Romano, Lucas
Delía, Lisandro Nahuel
Depetris, Beatriz O.
Comparison of services for the recognition of flora images: uses in augmented reality and tourism
topic_facet Ciencias Informáticas
tourism
smart tourist destinations
smart cities
foliar morphology
Nothofagus
augmented reality
artificial intelligence
image recognition
computer vision
IBM Watson
Microsoft Azure
Google Cloud
Amazon Web Services
description Tourism information services are evolving rapidly. With Internet, tourists organize their trips by managing information before arriving at their destination. Nature is the main tourist attraction in Argentina. However, the information tools as field guides, have had few improvements in their digital version compared to printed ones. This work compares machine learning, deep learning, artificial intelligence and image recognition services, to evaluate the app development for mobile phones that offers the recognition in real time of flora species in natural areas with low or no internet connectivity. Recognition of three Nothofagus tree species were evaluated in the Tierra del Fuego National Park, using IBM Watson and Microsoft Azure, with good results in general. A next iteration of this work expects to use assisted learning to improve the efficiency of the neural network obtained to know the adaptation capacities for each evaluated service.
format Objeto de conferencia
Objeto de conferencia
author Feierherd, Guillermo Eugenio
González, Federico
Viera, Leonel
Soler, Rosina
Romano, Lucas
Delía, Lisandro Nahuel
Depetris, Beatriz O.
author_facet Feierherd, Guillermo Eugenio
González, Federico
Viera, Leonel
Soler, Rosina
Romano, Lucas
Delía, Lisandro Nahuel
Depetris, Beatriz O.
author_sort Feierherd, Guillermo Eugenio
title Comparison of services for the recognition of flora images: uses in augmented reality and tourism
title_short Comparison of services for the recognition of flora images: uses in augmented reality and tourism
title_full Comparison of services for the recognition of flora images: uses in augmented reality and tourism
title_fullStr Comparison of services for the recognition of flora images: uses in augmented reality and tourism
title_full_unstemmed Comparison of services for the recognition of flora images: uses in augmented reality and tourism
title_sort comparison of services for the recognition of flora images: uses in augmented reality and tourism
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/73668
work_keys_str_mv AT feierherdguillermoeugenio comparisonofservicesfortherecognitionoffloraimagesusesinaugmentedrealityandtourism
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