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

Ricardo Yauri, Milton Rios, Jinmi Lezama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509063628
DOIs
StatePublished - 20 Oct 2017
Externally publishedYes
Event24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Peru
Duration: 15 Aug 201718 Aug 2017

Publication series

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

Conference

Conference24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
CountryPeru
CityCusco
Period15/08/1718/08/17

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the INICTEL-UNI. We would like to thank the Instituto de Investigación de la Amazonía Peruana - IIAP for institutional support.

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • GPRS
  • IoT
  • Sensor Node
  • Sensors
  • WSN
  • ZigBee

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