Sistema dosificador automático de alimento para alevines de trucha, en función de su biomasa determinada por un sistema de visión artificial en la finca del señor Ortiz del cantón Salcedo

Abstract

The present research project proposes the development of a feed dispenser for trout fingerlings, this system is complemented by an artificial vision system to determine the biomass of the fingerlings and according to that information, calculate the daily food ration that the fish should eat. The dispenser and the artificial vision system are designed to be compatible with the internet of things (IOT). Therefore, the dispenser has an ESP32 for its operation. Meanwhile, the artificial vision system works with a raspberry Pi. These development boards are compatible with internet connection. This allows the artificial vision system to send the number of fingerlings it has counted, their biomass and the feeding routine to the Firebase database once it has completed its task. The dispenser takes this data and uses it to start dispersing the food according to the defined schedule. In addition, the user can control and view the parameters of the dispenser's feeding schedule through a mobile application developed in React Native or through a web platform developed in React. Feeding routine settings can be edited from both web and mobile platforms, according to user needs. The implementation of this system, it allows to contribute the field of pisciculture with a reliable feed dispenser that fulfills the task of feeding the fish and, in addition, provide additional parameters such as the number of fingerlings and their weight.