i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study

This paper describes a preliminary study on the development of an intelligent bee hives monitoring tool called i-BeeHOME. This intelligent tool is capable to collect crucial information on bee colony hives in real time despite of its remote location. The capability as a smart device of i-BeeHOME is...

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Main Authors: Wan Nik, Dr. Wan Nor Shuhadah, Zakaria @ Mohamad, Dr. Aznida Hayati, Mohamad, Prof. Madya Dr. Zarina
Format: Book Section
Language:English
English
Published: Springer 2019
Subjects:
Online Access:http://eprints.unisza.edu.my/4117/1/FH05-FIK-19-28662.pdf
http://eprints.unisza.edu.my/4117/2/FH05-FIK-19-30383.pdf
http://eprints.unisza.edu.my/4117/
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spelling my-unisza-ir.41172022-09-13T06:37:55Z http://eprints.unisza.edu.my/4117/ i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study Wan Nik, Dr. Wan Nor Shuhadah Zakaria @ Mohamad, Dr. Aznida Hayati Mohamad, Prof. Madya Dr. Zarina TK Electrical engineering. Electronics Nuclear engineering This paper describes a preliminary study on the development of an intelligent bee hives monitoring tool called i-BeeHOME. This intelligent tool is capable to collect crucial information on bee colony hives in real time despite of its remote location. The capability as a smart device of i-BeeHOME is further advanced when these information is then analyzed using one of the most well known multi-criteria decision making (MCDM) method, i.e TOPSIS. Therefore, it is realized that the capability of i-BeeHOME is three-fold, i.e (I) collects and retrieves crucial information from beehives despite of its remote/rural location where WiFi/BLE based netwrok are ineffective by using LoRa technology, analyzes information collected to predict the conformity of bee hives location for high quality of honey production by using TOPSIS method, and tracking the geographical location of beehives in protecting if from being stolen/lost by using LoRaWAN technology. It is expected that the development of this tool will not only help the beekeepers to monitor honey beehives with minimum effort, but also implicitly allows further investigation on how to promote high quality of honey production by stingless bees. Springer 2019 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/4117/1/FH05-FIK-19-28662.pdf text en http://eprints.unisza.edu.my/4117/2/FH05-FIK-19-30383.pdf Wan Nik, Dr. Wan Nor Shuhadah and Zakaria @ Mohamad, Dr. Aznida Hayati and Mohamad, Prof. Madya Dr. Zarina (2019) i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study. In: Lecture Notes in Electrical Engineering. Springer, Singapore, pp. 669-676. ISBN 978-981-15-0057-2
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Nik, Dr. Wan Nor Shuhadah
Zakaria @ Mohamad, Dr. Aznida Hayati
Mohamad, Prof. Madya Dr. Zarina
i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
description This paper describes a preliminary study on the development of an intelligent bee hives monitoring tool called i-BeeHOME. This intelligent tool is capable to collect crucial information on bee colony hives in real time despite of its remote location. The capability as a smart device of i-BeeHOME is further advanced when these information is then analyzed using one of the most well known multi-criteria decision making (MCDM) method, i.e TOPSIS. Therefore, it is realized that the capability of i-BeeHOME is three-fold, i.e (I) collects and retrieves crucial information from beehives despite of its remote/rural location where WiFi/BLE based netwrok are ineffective by using LoRa technology, analyzes information collected to predict the conformity of bee hives location for high quality of honey production by using TOPSIS method, and tracking the geographical location of beehives in protecting if from being stolen/lost by using LoRaWAN technology. It is expected that the development of this tool will not only help the beekeepers to monitor honey beehives with minimum effort, but also implicitly allows further investigation on how to promote high quality of honey production by stingless bees.
format Book Section
author Wan Nik, Dr. Wan Nor Shuhadah
Zakaria @ Mohamad, Dr. Aznida Hayati
Mohamad, Prof. Madya Dr. Zarina
author_facet Wan Nik, Dr. Wan Nor Shuhadah
Zakaria @ Mohamad, Dr. Aznida Hayati
Mohamad, Prof. Madya Dr. Zarina
author_sort Wan Nik, Dr. Wan Nor Shuhadah
title i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
title_short i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
title_full i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
title_fullStr i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
title_full_unstemmed i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
title_sort i-beehome: an intelligent stingless honey beehives monitoring tool based on topsis method by implementing lorawan - a preliminary study
publisher Springer
publishDate 2019
url http://eprints.unisza.edu.my/4117/1/FH05-FIK-19-28662.pdf
http://eprints.unisza.edu.my/4117/2/FH05-FIK-19-30383.pdf
http://eprints.unisza.edu.my/4117/
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score 13.211869