The control of water quality is crucial to ensure the survival of fish in aquaculture production
facilities. Today, the combination of sensors with communication technologies permits to monitor
these crucial parameters in real‐time, allowing to take fast management decisions. However,
out‐of‐the‐box solutions are expensive, due to the small market and the industrial nature of sensors,
besides being little customizable. To solve this, the present work describes a low‐cost hardware and
software architecture developed to achieve the autonomous water quality assessment and management
on a remote facility for fish conservation aquaculture within the framework of the Smart Comunidad
Rural Digital (smartCRD) project. The developed sensor network has been working uninterruptedly
since its installation (20 April 2021). It is based on open source technology and includes
a central gateway for on‐site data monitoring of water quality nodes as well as an online management
platform for data visualization and sensor network configuration. Likewise, the system can
detect autonomously water quality parameters outside configurable thresholds and deliver management
alarms. The described architecture, besides low‐cost, is highly customizable, compatible
with other sensor network projects, machine‐learning applications, and is capable of edge computing.
Thus, it contributes to making open sensorization more accessible to real‐world applications.
� Copyright©2013. Inventi Journals Pvt.Ltd. All Right Reserved.