Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo

In Panama, there are community organizations that guarantee access to water for human consumption to more than 20% of the country's total population. For the sustainability of the water resource, it is essential to involve the communities in the process of monitoring the water quality. This can be a...

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Main Author: Quintero, Carlos (author)
Other Authors: Merchán, Fernando (author), Cornejo, Aydeé (author), Galán, Javier Sánchez (author)
Format: article
Language:English
Published: 2018
Online Access:https://knepublishing.com/index.php/KnE-Engineering/article/view/1462
http://ridda2.utp.ac.pa/handle/123456789/4208
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author Quintero, Carlos
author2 Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
author2_role author
author
author
author_browse Cornejo, Aydeé
Galán, Javier Sánchez
Merchán, Fernando
Quintero, Carlos
author_facet Quintero, Carlos
Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.contributor.none.fl_str_mv
dc.creator.none.fl_str_mv Quintero, Carlos
Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
Quintero, Carlos
Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
dc.date.none.fl_str_mv 2018-02-11
2018-02-23T17:16:11Z
2018-02-23T17:16:11Z
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application/pdf
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dc.identifier.none.fl_str_mv https://knepublishing.com/index.php/KnE-Engineering/article/view/1462
10.18502/keg.v3i1.1462
http://ridda2.utp.ac.pa/handle/123456789/4208
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv KnE Publishing
dc.relation.none.fl_str_mv https://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3272
https://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3527
https://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3528
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/
dc.source.none.fl_str_mv 2518-6841
KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 585-596
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.title.none.fl_str_mv Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In Panama, there are community organizations that guarantee access to water for human consumption to more than 20% of the country's total population. For the sustainability of the water resource, it is essential to involve the communities in the process of monitoring the water quality. This can be achieved through the implementation of participatory biomonitoring using macroinvertebrates as indicators. In fact, it has been determined that the presence of different families of these organisms in ecosystems can be associated to different levels of their ecological quality. This work aims to develop a system capable of recognizing two families of macroinvertebrates through the use of images. The system is based on the use of algorithms of deep neural networks, with which we can achieve the learning of patterns. From a set of public images from the internet and biomonitoring carried out in the field, we train a convolutional neural network implemented in Tensorflow and Keras. These images belong to photographs of specimens of the families Calopterygidae and Heptageniidae. For this preliminary test, we report reliability percentages with values above 95%.Keywords: image recognition, neural networks, convolutional neural networks, macroinvertebrates
eu_rights_str_mv openAccess
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identifier_str_mv 10.18502/keg.v3i1.1462
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
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publishDate 2018
publishDateSort 2018
publisher.none.fl_str_mv KnE Publishing
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
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spelling Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo ParticipativoQuintero, CarlosMerchán, FernandoCornejo, AydeéGalán, Javier SánchezQuintero, CarlosMerchán, FernandoCornejo, AydeéGalán, Javier SánchezIn Panama, there are community organizations that guarantee access to water for human consumption to more than 20% of the country's total population. For the sustainability of the water resource, it is essential to involve the communities in the process of monitoring the water quality. This can be achieved through the implementation of participatory biomonitoring using macroinvertebrates as indicators. In fact, it has been determined that the presence of different families of these organisms in ecosystems can be associated to different levels of their ecological quality. This work aims to develop a system capable of recognizing two families of macroinvertebrates through the use of images. The system is based on the use of algorithms of deep neural networks, with which we can achieve the learning of patterns. From a set of public images from the internet and biomonitoring carried out in the field, we train a convolutional neural network implemented in Tensorflow and Keras. These images belong to photographs of specimens of the families Calopterygidae and Heptageniidae. For this preliminary test, we report reliability percentages with values above 95%.Keywords: image recognition, neural networks, convolutional neural networks, macroinvertebratesKnE Publishing2018-02-112018-02-23T17:16:11Z2018-02-23T17:16:11Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/mswordapplication/pdfapplication/xmlhttps://knepublishing.com/index.php/KnE-Engineering/article/view/146210.18502/keg.v3i1.1462http://ridda2.utp.ac.pa/handle/123456789/42082518-6841KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 585-596reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáenghttps://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3272https://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3527https://knepublishing.com/index.php/KnE-Engineering/article/view/1462/3528info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/oai:ridda2.utp.ac.pa:123456789/42082021-07-06T16:47:34Z
spellingShingle Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
Quintero, Carlos
status_str publishedVersion
title Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
title_full Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
title_fullStr Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
title_full_unstemmed Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
title_short Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
title_sort Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo
url https://knepublishing.com/index.php/KnE-Engineering/article/view/1462
http://ridda2.utp.ac.pa/handle/123456789/4208