  The conventional fishing industry has several difficulties: water
contamination, temperature instability, nutrition, area, expense, etc. In fish
farming, Biofloc technology turns traditional farming into a sophisticated
infrastructure that enables the utilization of leftover food by turning it into
bacterial biomass. The purpose of our study is to propose an intelligent IoT
Biofloc system that improves efficiency and production. This article introduced
a system that gathers data from sensors, store data in the cloud, analyses it
using a machine learning model such as a Decision regression tree model to
predict the water condition, and provides real-time monitoring through an
android app. The proposed system has achieved a satisfactory accuracy of 79%
during the experiment.
