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aub_admin July 18, 2021 26 Views

IoT based Smart Water Quality Prediction for Biofloc Aquaculture

Authors & Affiliations

Md. Mamunur Rashid, Al-Akhir Nayan, Md. Obaidur Rahman, et al.
Associate Professor, Dept. of CSE, Asian University of Bangladesh
Collaborators: ULAB | University of Siegen | North South University | EUB

Publication Info

Journal: IJACSA
Vol: 12, No: 6 | 2021

Abstract

Traditional fish farming faces several challenges, including water pollution, temperature imbalance, feed, space, cost, etc. Biofloc technology in aquaculture transforms the manual into an advanced system that allows the reuse of unused feed by converting them into microbial protein. The objective of the research is to propose an IoT-based solution to aquaculture that increases efficiency and productivity. The article presented a system that collects data using sensors, analyzes them using a machine learning model, generates decisions with the help of Artificial Intelligence (AI), and sends notifications to the user. The proposed system has been implemented and tested to validate and achieve a satisfactory result.
Keywords: Smart aquaculture system; Biofloc technology; Machine learning; Life below water.