IoT based system for monitoring dissolved oxygen and temperature in fish larviculture

Abstract

Aquaculture is carried out in controlled environments to guarantee the health, growth, and survival of aquatic species, so it is essential to monitor water quality parameters. We designed and implemented a system based on the Internet of Things for monitoring dissolved oxygen and temperature in Amazonian fish larviculture. We based the design of the architecture on four layers: data acquisition, communication, cloud server and application. We carried out the experimental tests with the data collected by the system during seven days of culture of larvae of the species Piaractus brachypomus (paco) in the aquaculture center “La Cachuela”. The values obtained for dissolved oxygen varied between 7.43 ± 0.04 and 7.83 ± 0.02 mg L-1; regarding the water temperature, it fluctuated between 19.59 ± 0.45 and 25.45 ± 0.11 °C. We concluded that the system developed for monitoring dissolved oxygen and water temperature displays data obtained in real time, in both cases the values are within the tolerable ranges for the cultivation of this species.