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.
|Title of host publication||Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 20 Oct 2017|
|Event||24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Peru|
Duration: 15 Aug 2017 → 18 Aug 2017
|Name||Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017|
|Conference||24th IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017|
|Period||15/08/17 → 18/08/17|
Bibliographical noteFunding 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.
© 2017 IEEE.
Copyright 2018 Elsevier B.V., All rights reserved.
- Sensor Node