Sistema de monitoreo y alerta de la calidad del agua para un cultivo experimental de peces aplicando tecnologías de iot.

Abstract

Fish farming is an activity that has been increasing in recent years, currently the economy and food of a significant percentage of the population depend on fish farming. However, this activity is not without difficulties. The illnesses of the fish are generated as a consequence of a set of adverse events that alters them physiologically. One of these causes is poor water quality management, which ends up directly affecting its immune system, which can range from increased production costs to the death of the entire crop. For this reason, the project focuses on implementing a prototype system for monitoring and alerting the factors that affect water quality, in an experimental fish farm, through the application of Internet of Things (IoT) technologies, therefore, it must have the characteristics to act on the negative influence of these factors. The way in which the development of this project was carried out is based on the Extreme Programming (XP) methodology adapted to IoT, which consists of four phases. planning, design, development and testing. For this reason, this project hopes to obtain a prototype system that integrates IoT with a positive impact on the fish farming process, and that allows constant monitoring of the variables involved in their life cycle through sensors, and alerts through data classification. Based on the work carried out, the fulfillment of the mariculture laboratory requirements necessary to monitor and alert on the water quality of a fish culture was obtained as a result; then some conclusions and recommendations of the prototype were issued.