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Design and Implementation of an IoT Based Biofloc Monitoring System
Rangamati Science and Technology University, Rangamati, Bangladesh.
Rangamati Science and Technology University, Rangamati, Bangladesh.
Rangamati Science and Technology University, Rangamati, Bangladesh.
Rangamati Science and Technology University, Rangamati, Bangladesh.
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2024 (English)In: Intelligent Computing and Optimization: Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2 / [ed] Pandian Vasant; Vladimir Panchenko; Elias Munapo; Gerhard-Wilhelm Weber; J. Joshua Thomas; Rolly Intan; Mohammad Shamsul Arefin, Springer Science and Business Media Deutschland GmbH , 2024, p. 60-69Chapter in book (Refereed)
Abstract [en]

Biofloc technology has gained prominence in aquaculture for its sustainable approach to waste decomposition and nutrient-rich microbial floc production. To ensure optimal conditions within Biofloc systems and maximize productivity, this study introduces a novel smart Biofloc monitoring system integrated with the Internet of Things (IoT). Our research centers on developing and implementing an IoT-based Biofloc monitoring system capable of real-time data collection and analysis. Specialized sensors continuously measure and track key environmental parameters, including water temperature, pH levels, and ammonia concentration. These data are efficiently transmitted through an IoT network and made accessible via the ThingSpeak server and dedicated Android applications. The presented Biofloc monitoring system provides aquaculturists with a comprehensive tool for maintaining ideal conditions, thereby improving yield and sustainability. With instant access to crucial environmental data, this IoT-enabled system empowers users to make informed decisions, take prompt corrective actions, and promote efficient Biofloc management practices.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 60-69
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 1167
National Category
Computer and Information Sciences
Research subject
Cyber Security
Identifiers
URN: urn:nbn:se:ltu:diva-111489DOI: 10.1007/978-3-031-73318-5_7Scopus ID: 2-s2.0-85215705535OAI: oai:DiVA.org:ltu-111489DiVA, id: diva2:1935720
Note

ISBN for host publication: 978-3-031-73317-8 (Print), 978-3-031-73318-5 (Online)

Available from: 2025-02-07 Created: 2025-02-07 Last updated: 2025-10-21Bibliographically approved

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Andersson, Karl

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