Android-Based Feed Calculator for Oreochromis Niloticus Farms

Abstract

The researchers created an Android-Based Feed Calculator for Oreochromis Niloticus Farms to address the challenges of providing a timely and adequate food supply in aquaculture. The MABSCI application underwent development using a comprehensive methodology that involved equation development, prototyping, and construction of a fish pen. The researchers developed the application's user interface design using images and an alarm feature that reminded fish owners about the timing and total amount of feed required for the Oreochromis Niloticus. The application equation was developed based on several variables: feeding rate, stocking density, average body weight, temperature, pH, and salinity. They used a t-test and ANOVA to evaluate the application's performance in three groups: estimation, BFAR, and MABSCI. Despite having the lowest daily feed ratio among the three groups, MABSCI maintained a comparable average body weight of 52.39 g, with estimation, and BFAR with 75.889 g and 65.728 g, respectively. This suggests that MABSCI achieved efficient growth with a lower amount of feed, indicating potential optimization of feeding practices. Moreover, the app may serve as a model for optimizing feeding practices in aquaculture operations by identifying strategies to optimize feed utilization, reduce feed costs, and minimize waste. The system can help improve farm performance by providing information on improving productivity while ensuring the fish get a healthy diet.