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IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic

In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-ti...

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Main Author: Safawati, Annuar
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf
http://umpir.ump.edu.my/id/eprint/40706/
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spelling my.ump.umpir.407062024-03-18T07:53:47Z http://umpir.ump.edu.my/id/eprint/40706/ IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic Safawati, Annuar QA75 Electronic computers. Computer science In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-time data from these sensors is processed and analysed using a fuzzy logic-based methodology. The fuzzy logic system evaluates the water quality conditions and decides on the proper course of action to maintain ideal conditions inside the aquarium using membership functions and rules. The technology automatically controls crucial elements including filtration, and water replacement, reducing stress on aquatic life, and streamlining aquarium maintenance. To demonstrate the system's capacity to continually preserve ideal water quality standards, advance the welfare of aquatic species, and improve aquarium environment management, experimental studies are carried out to confirm its efficacy. Overall, this aquarium water quality system provides a thorough way to keep track of and regulate key variables, maintaining a stable and favourable environment for aquatic life. The system offers an intelligent and automated method for maintaining ideal water quality conditions, eventually improving the health and vitality of the aquarium environment. It does this by utilising fuzzy logic principles. 2023-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf Safawati, Annuar (2023) IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Safawati, Annuar
IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
description In order to ensure that aquatic organisms have a healthy and prosperous environment, this abstract introduces a water quality system that was especially created for aquariums. The system uses several sensors to continuously track important factors like temperature, pH level, and water level. Real-time data from these sensors is processed and analysed using a fuzzy logic-based methodology. The fuzzy logic system evaluates the water quality conditions and decides on the proper course of action to maintain ideal conditions inside the aquarium using membership functions and rules. The technology automatically controls crucial elements including filtration, and water replacement, reducing stress on aquatic life, and streamlining aquarium maintenance. To demonstrate the system's capacity to continually preserve ideal water quality standards, advance the welfare of aquatic species, and improve aquarium environment management, experimental studies are carried out to confirm its efficacy. Overall, this aquarium water quality system provides a thorough way to keep track of and regulate key variables, maintaining a stable and favourable environment for aquatic life. The system offers an intelligent and automated method for maintaining ideal water quality conditions, eventually improving the health and vitality of the aquarium environment. It does this by utilising fuzzy logic principles.
format Undergraduates Project Papers
author Safawati, Annuar
author_facet Safawati, Annuar
author_sort Safawati, Annuar
title IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
title_short IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
title_full IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
title_fullStr IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
title_full_unstemmed IoT Based Water Quality Control For Small-Scale Aquarium With Fuzzy Logic
title_sort iot based water quality control for small-scale aquarium with fuzzy logic
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40706/1/CA20027.pdf
http://umpir.ump.edu.my/id/eprint/40706/
_version_ 1822924196967088128
score 13.235318

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