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- W4313204879 abstract "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, stores data in the cloud, analyzes 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 achieved a satisfactory accuracy of 79% during the experiment." @default.
- W4313204879 created "2023-01-06" @default.
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- W4313204879 date "2022-01-01" @default.
- W4313204879 modified "2023-09-25" @default.
- W4313204879 title "Smart IoT Biofloc Water Management System Using Decision Regression Tree" @default.
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- W4313204879 doi "https://doi.org/10.1007/978-981-19-2445-3_15" @default.
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