Development of Real-Time Monitoring System for Aquaculture Farming Using IoT

The research presents a real-Time monitoring system for aquaculture that uses Intel® Edison as a microcontroller to interface with cloud storage. The aim of this project is to design and develop a system that monitors the rate of nutrition contained in the commercial freshwater fishpond. The project...

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Published in:2023 IEEE International Conference on Applied Electronics and Engineering, ICAEE 2023
Main Author: Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180537164&doi=10.1109%2fICAEE58583.2023.10331205&partnerID=40&md5=9e0e676935008612117ee4ac293087e9
id 2-s2.0-85180537164
spelling 2-s2.0-85180537164
Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
2023
2023 IEEE International Conference on Applied Electronics and Engineering, ICAEE 2023


10.1109/ICAEE58583.2023.10331205
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180537164&doi=10.1109%2fICAEE58583.2023.10331205&partnerID=40&md5=9e0e676935008612117ee4ac293087e9
The research presents a real-Time monitoring system for aquaculture that uses Intel® Edison as a microcontroller to interface with cloud storage. The aim of this project is to design and develop a system that monitors the rate of nutrition contained in the commercial freshwater fishpond. The project is divided into the following scopes: A) interface connection between Intel® Edison with IBM cloud and b) develop a way for the end user to get the information that is in the database. Sensors were used as the input that provides data to the microcontroller from the measurement of the fishpond. All controls are centralized using the Intel® Edison as a microcontroller and the data are obtained from the temperature, dissolved oxygen, and pH sensors. Then the data was stored in the cloud storage and user-Accessible using their personal computer and mobile phone. The user could monitor the data anywhere if there is an Internet connection on their mobile phone. Therefore, the implementation of the Internet of Things (IoT) technology in the fish farms industry will counter the problem that occurs nowadays. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
spellingShingle Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
author_facet Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
author_sort Hashim H.; Yusoff O.H.; Mohamad Saad P.S.; Harun Z.
title Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
title_short Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
title_full Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
title_fullStr Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
title_full_unstemmed Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
title_sort Development of Real-Time Monitoring System for Aquaculture Farming Using IoT
publishDate 2023
container_title 2023 IEEE International Conference on Applied Electronics and Engineering, ICAEE 2023
container_volume
container_issue
doi_str_mv 10.1109/ICAEE58583.2023.10331205
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180537164&doi=10.1109%2fICAEE58583.2023.10331205&partnerID=40&md5=9e0e676935008612117ee4ac293087e9
description The research presents a real-Time monitoring system for aquaculture that uses Intel® Edison as a microcontroller to interface with cloud storage. The aim of this project is to design and develop a system that monitors the rate of nutrition contained in the commercial freshwater fishpond. The project is divided into the following scopes: A) interface connection between Intel® Edison with IBM cloud and b) develop a way for the end user to get the information that is in the database. Sensors were used as the input that provides data to the microcontroller from the measurement of the fishpond. All controls are centralized using the Intel® Edison as a microcontroller and the data are obtained from the temperature, dissolved oxygen, and pH sensors. Then the data was stored in the cloud storage and user-Accessible using their personal computer and mobile phone. The user could monitor the data anywhere if there is an Internet connection on their mobile phone. Therefore, the implementation of the Internet of Things (IoT) technology in the fish farms industry will counter the problem that occurs nowadays. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
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