AQUARDENT: IOT-ENABLED AUTOMATIC FISH FEEDER WITH AN EARLY FISH KILL ALERT SYSTEM AND MITIGATION IN DAGUPAN CITY

Abstract

Fish cultivation, specifically the Bangus or milkfish, is a significant economic activity in the Philippines, especially in Pangasinan. However, challenges such as overfeeding, water quality issues, fish kills, feed wastage, and high labor costs pose significant threats to the industry and the cultivators. To address these issues, the researchers propose developing and deploying the AquArdent, an IoT-enabled automatic fish feeder with a fish kill alert system and mitigation.

 The AquArdent System consists of IoT sensors that monitor water quality parameters such as dissolved oxygen, pH level, temperature, and total dissolved salinity. It also comprises an automatic fish feeder that lets users dispense feeds at a specific time and amount. There is also an alert system to warn the user through an SMS notification regarding water quality issues. The system is also equipped with a water aeration system, which activates when certain thresholds are in danger, improving water quality.

Evolutionary prototyping is utilized in developing the AquArdent system to cater to the different iterations and ensure usability. The researchers conducted a usability test based on ISO/IEC 9241-11:2018.

     Generally, the AquArdent, an IoT-enabled automatic fish feeder with a fish kill alert system and mitigation system, provides an effective and efficient solution to the underlying threats in Bangus cultivation. The proposed system can also provide a return on investment in 5 years rather than utilizing traditional methods of fish cultivation.