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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 iBeeHOME. This tool benefits LoRa and LoRaWan (LoRa in low power WANs) technology. This intelligent tool is capable to collect crucial information on bee colony hives in real-time despite...

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Main Authors: Syadiah Nor, Wan Shamsuddin, Aznida Hayati, Zakaria@Mohamad, Zarina, Mohamad, Abdul Azim, Azlan
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
G Geography (General)
GE Environmental Sciences
T Technology (General)
Online Access:http://eprints.unisza.edu.my/1958/1/FH03-FIK-20-36892.pdf
http://eprints.unisza.edu.my/1958/
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id my-unisza-ir.1958
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spelling my-unisza-ir.19582020-11-25T06:29:05Z http://eprints.unisza.edu.my/1958/ i-BeeHOME: An intelligent stingless honey beehives monitoring tool based on TOPSIS method by implementing LoRaWan – a preliminary study Syadiah Nor, Wan Shamsuddin Aznida Hayati, Zakaria@Mohamad Zarina, Mohamad Abdul Azim, Azlan G Geography (General) GE Environmental Sciences T Technology (General) This paper describes a preliminary study on the development of an intelligent bee hives monitoring tool called iBeeHOME. This tool benefits LoRa and LoRaWan (LoRa in low power WANs) technology. 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 wellknown multi-criteria decision making (MCDM) method, i.e. TOPSIS. Therefore, it is realized that the capability of iBeeHOME is three-fold, i.e. (1) collects and retrieves crucial information from beehives despite of its remote/rural location where WiFi/BLE based networks are ineffective by using LoRa technology, (2) analyzes information collected to predict the conformity of bee hives location for high quality of honey production by using TOPSIS method, and (3) tracking the geographical location of beehives in protecting it 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. 2020 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/1958/1/FH03-FIK-20-36892.pdf Syadiah Nor, Wan Shamsuddin and Aznida Hayati, Zakaria@Mohamad and Zarina, Mohamad and Abdul Azim, Azlan (2020) i-BeeHOME: An intelligent stingless honey beehives monitoring tool based on TOPSIS method by implementing LoRaWan – a preliminary study. In: 6th International Conference on Computational Science and Technology, ICCST 2019, 29-30 Aug 2019, Kota Kinabalu, Malaysia.
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
topic G Geography (General)
GE Environmental Sciences
T Technology (General)
spellingShingle G Geography (General)
GE Environmental Sciences
T Technology (General)
Syadiah Nor, Wan Shamsuddin
Aznida Hayati, Zakaria@Mohamad
Zarina, Mohamad
Abdul Azim, Azlan
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 iBeeHOME. This tool benefits LoRa and LoRaWan (LoRa in low power WANs) technology. 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 wellknown multi-criteria decision making (MCDM) method, i.e. TOPSIS. Therefore, it is realized that the capability of iBeeHOME is three-fold, i.e. (1) collects and retrieves crucial information from beehives despite of its remote/rural location where WiFi/BLE based networks are ineffective by using LoRa technology, (2) analyzes information collected to predict the conformity of bee hives location for high quality of honey production by using TOPSIS method, and (3) tracking the geographical location of beehives in protecting it 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 Conference or Workshop Item
author Syadiah Nor, Wan Shamsuddin
Aznida Hayati, Zakaria@Mohamad
Zarina, Mohamad
Abdul Azim, Azlan
author_facet Syadiah Nor, Wan Shamsuddin
Aznida Hayati, Zakaria@Mohamad
Zarina, Mohamad
Abdul Azim, Azlan
author_sort Syadiah Nor, Wan Shamsuddin
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
publishDate 2020
url http://eprints.unisza.edu.my/1958/1/FH03-FIK-20-36892.pdf
http://eprints.unisza.edu.my/1958/
_version_ 1684657778808848384
score 13.211869

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