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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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 |
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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 |
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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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1744652750964129792 |
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13.211869 |