Water quality monitoring of Peruvian Amazon based in the Internet of Things

Ricardo Yauri, Milton Rios, Jinmi Lezama

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

This paper presents a water quality monitoring system using low power hardware based in the Internet of Things. Six sensor nodes for water quality monitoring in pisciculture are installed in three region of the Peruvian amazon. The sensor node is a modular hardware composed by control, communication and sensor module that measure parameters such as pH, conductivity and temperature. All data information is managed by software platform designed using open source tools, data information allows to control water pollution and their effect in the pisciculture. Data acquired is used by the researchers of the Instituto de Investigaciones de la Amazonía Peruana to study the health and growing population of paiche fish.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509063628
DOI
EstadoPublicada - 20 oct. 2017
Publicado de forma externa
Evento24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Perú
Duración: 15 ago. 201718 ago. 2017

Serie de la publicación

NombreProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017

Conferencia

Conferencia24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
País/TerritorioPerú
CiudadCusco
Período15/08/1718/08/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

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