• ¿Qué es UTP-Ridda2?
  • Políticas
  • ¿Cómo Depositar?
  • Estadísticas
Repositorio Institucional
de la Universidad Tecnológica de Panamá
    • English
    • español
  • English 
    • English
    • español
  • Login
View Item 
  •   UTP-Ridda2
  • Memorias de Congresos UTP
  • 2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017)
  • View Item
  •   UTP-Ridda2
  • Memorias de Congresos UTP
  • 2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
Author
Quintero, Carlos
Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
Quintero, Carlos
Merchán, Fernando
Cornejo, Aydeé
Galán, Javier Sánchez
Metadata
Show full item record
Abstract
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
URL
https://knepublishing.com/index.php/KnE-Engineering/article/view/1462
10.18502/keg.v3i1.1462
URI
http://ridda2.utp.ac.pa/handle/123456789/4208
Collections
  • 2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017) [115]
License
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/

Browse

All of UTP-Ridda2Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

  • Enlaces de Interes

  • ¿Qué es UTP-Ridda2?
  • Políticas
  • ¿Cómo depositar?
  • Sitios Recomendados

  • Revistas UTP
  • Sistema de Información Científica
  • Universidad Tecnológica de Panamá
  • Redes Sociales

  • facebook.com/UTPrepositorio
  • @utprepositorio

Recolectado por:

El OAI de este repositorio: http://ridda2.utp.ac.pa/oai/
Repositorio Institucional de Documentos Digitales de Acceso Abierto de la Universidad de Tecnológica de Panamá.
Este repositorio utiliza la Licencia CC BY-NC-SA y funciona bajo DSpace.

Contact Us | Send Feedback
Universidad Tecnológica de Panamá

  • Enlaces de Interes

  • ¿Qué es UTP-Ridda2?
  • Políticas
  • ¿Cómo depositar?
  • Sitios Recomendados

  • Revistas UTP
  • Sistema de Información Científica
  • Universidad Tecnológica de Panamá
  • Redes Sociales

  • facebook.com/UTPrepositorio
  • @utprepositorio

Recolectado por:

El OAI de este repositorio: http://ridda2.utp.ac.pa/oai/
Repositorio Institucional de Documentos Digitales de Acceso Abierto de la Universidad de Tecnológica de Panamá.
Este repositorio utiliza la Licencia CC BY-NC-SA y funciona bajo DSpace.

Contact Us | Send Feedback
Universidad Tecnológica de Panamá