An Intelligent-IoT-Based Data Analytics for Freshwater Recirculating Aquaculture System

Singh, M; Sahoo, KS; Gandomi, AH

An Intelligent-IoT-Based Data Analytics for Freshwater Recirculating Aquaculture System

Singh, M Sahoo, KS Gandomi, AH

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Internet of Things Journal, 2024, 11, (3), pp. 4206-4217
Issue Date:: 2024-02-01

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Field	Value	Language
dc.contributor.author	Singh, M
dc.contributor.author	Sahoo, KS
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-08-07T04:27:21Z
dc.date.available	2024-08-07T04:27:21Z
dc.date.issued	2024-02-01
dc.identifier.citation	IEEE Internet of Things Journal, 2024, 11, (3), pp. 4206-4217
dc.identifier.issn	2327-4662
dc.identifier.issn	2327-4662
dc.identifier.uri	http://hdl.handle.net/10453/180189
dc.description.abstract	Implementing innovative farming practices becomes imperative for a country whose economy relies heavily on agricultural products. Over recent years, the swift process of urbanization and the depletion of forests have influenced farmers. Due to the lack of rainwater harvesting and changing weather patterns, many crop failure cases have been registered in the last few years. To prevent loss of annual crop production, many researchers propose the technology-driven smart farming method. Smart agriculture involves utilizing technology to create a controlled environment for the management of the crops. Smart farming increases crop production and provides small farmers with an alternative income source. The government initiated many pilot projects to promote smart agriculture in India. Yet, the absence of technological assistance and skilled procedures poses a challenge for most farmers aiming to thrive in this industry. This paper introduces a smart freshwater recirculating aquaculture system based on IoT technology. The proposed system has integrated sensors and actuators. The sensor system monitors the water parameters, and actuators maintain the aquaculture environment. An intelligent data analytics algorithm played a significant role in monitoring and maintaining the freshwater aquaculture environment. The analytics derived the relationship between the water parameters and identified the relative change. From the experimental evaluation, we have identified that the M5 model tree algorithm has the highest accuracy for monitoring the relative change in water parameters.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Internet of Things Journal
dc.relation.isbasedon	10.1109/JIOT.2023.3298844
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	An Intelligent-IoT-Based Data Analytics for Freshwater Recirculating Aquaculture System
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Data Science Institute (DSI)
pubs.organisational-group	University of Technology Sydney/Strength - DSI - Data Science Institute
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-08-07T04:27:07Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	3

Abstract:

Implementing innovative farming practices becomes imperative for a country whose economy relies heavily on agricultural products. Over recent years, the swift process of urbanization and the depletion of forests have influenced farmers. Due to the lack of rainwater harvesting and changing weather patterns, many crop failure cases have been registered in the last few years. To prevent loss of annual crop production, many researchers propose the technology-driven smart farming method. Smart agriculture involves utilizing technology to create a controlled environment for the management of the crops. Smart farming increases crop production and provides small farmers with an alternative income source. The government initiated many pilot projects to promote smart agriculture in India. Yet, the absence of technological assistance and skilled procedures poses a challenge for most farmers aiming to thrive in this industry. This paper introduces a smart freshwater recirculating aquaculture system based on IoT technology. The proposed system has integrated sensors and actuators. The sensor system monitors the water parameters, and actuators maintain the aquaculture environment. An intelligent data analytics algorithm played a significant role in monitoring and maintaining the freshwater aquaculture environment. The analytics derived the relationship between the water parameters and identified the relative change. From the experimental evaluation, we have identified that the M5 model tree algorithm has the highest accuracy for monitoring the relative change in water parameters.

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http://hdl.handle.net/10453/180189