صورة الغلاف

Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system

Stingless bee colonies require constant monitoring to ensure hive health and optimal honey production. However, conventional monitoring practices are time-consuming and labor-intensive, especially for beekeepers in rural or remote areas. Without access to real-time hive data, beekeepers may struggle...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Ahmad, Yasser Arul, Nurul Salshabila, Mustapa, Anis Hannani, Razaman, Muhammad Nasrin Aqil, Abdul Hamid, Noreha, Abdul Malik, Mohd Faizal, Jamlos
التنسيق: مقال
اللغة:English
منشور في: International Islamic University Malaysia-IIUM 2025
الموضوعات:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/43844/1/Integration%20of%20lora%20iot%20with%20cloud%20platform%20in%20stingless%20beehive%20remote%20monitoring%20system.pdf
http://umpir.ump.edu.my/id/eprint/43844/
https://doi.org/10.31436/IIUMEJ.V26I1.3531
https://doi.org/10.31436/IIUMEJ.V26I1.3531
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id my.ump.umpir.43844
record_format eprints
spelling my.ump.umpir.438442025-02-18T08:11:50Z http://umpir.ump.edu.my/id/eprint/43844/ Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system Ahmad, Yasser Arul Nurul Salshabila, Mustapa Anis Hannani, Razaman Muhammad Nasrin Aqil, Abdul Hamid Noreha, Abdul Malik Mohd Faizal, Jamlos T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Stingless bee colonies require constant monitoring to ensure hive health and optimal honey production. However, conventional monitoring practices are time-consuming and labor-intensive, especially for beekeepers in rural or remote areas. Without access to real-time hive data, beekeepers may struggle to detect changes in temperature, humidity, and other vital conditions that could impact bee health and productivity. Most studies rely on Wi-Fi modules for communication between local and cloud servers. However, using Wi-Fi for bee monitoring requires that the stingless bee hives be located near buildings with Wi-Fi access. To address this issue, a prototype of a remote monitoring system for a stingless bee colony was developed using Long Range (LoRa) technologies due to the low data rate, low power, and operability in an outdoor environment. This system aims to help beekeepers monitor the beehives remotely. The prototype comprises two nodes: a beehive sensor node and a LoRa gateway node. The beehive monitoring sensor node is equipped with the ESP32 as a microcontroller, LoRa SX1278, BME680, and KY-037. The LoRa gateway comprises ESP32 and LoRa SX1278 and is interfaced with Ubidots through Node-Red. The developed prototype was tested at four locations at varying distances in the Mahallah Ruqayyah Kelulut farm. The result shows that LoRa is feasible for remote monitoring because it can reliably transmit data up to 58 meters despite a higher data rate. The Ubidots dashboard displays the temperature, humidity percentage, air quality, pressure, sound levels, and RSSI value for thorough insights into the bee's condition, as it can be accessed using web and mobile applications. Overall, the stingless bee remote monitoring system using LoRa communication is a promising solution for outdoor applications between the sender and receiver for data transmission in remote areas. International Islamic University Malaysia-IIUM 2025 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/43844/1/Integration%20of%20lora%20iot%20with%20cloud%20platform%20in%20stingless%20beehive%20remote%20monitoring%20system.pdf Ahmad, Yasser Arul and Nurul Salshabila, Mustapa and Anis Hannani, Razaman and Muhammad Nasrin Aqil, Abdul Hamid and Noreha, Abdul Malik and Mohd Faizal, Jamlos (2025) Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system. IIUM Engineering Journal, 26 (1). pp. 373-397. ISSN 1511-788X. (Published) https://doi.org/10.31436/IIUMEJ.V26I1.3531 https://doi.org/10.31436/IIUMEJ.V26I1.3531
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 T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad, Yasser Arul
Nurul Salshabila, Mustapa
Anis Hannani, Razaman
Muhammad Nasrin Aqil, Abdul Hamid
Noreha, Abdul Malik
Mohd Faizal, Jamlos
Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
description Stingless bee colonies require constant monitoring to ensure hive health and optimal honey production. However, conventional monitoring practices are time-consuming and labor-intensive, especially for beekeepers in rural or remote areas. Without access to real-time hive data, beekeepers may struggle to detect changes in temperature, humidity, and other vital conditions that could impact bee health and productivity. Most studies rely on Wi-Fi modules for communication between local and cloud servers. However, using Wi-Fi for bee monitoring requires that the stingless bee hives be located near buildings with Wi-Fi access. To address this issue, a prototype of a remote monitoring system for a stingless bee colony was developed using Long Range (LoRa) technologies due to the low data rate, low power, and operability in an outdoor environment. This system aims to help beekeepers monitor the beehives remotely. The prototype comprises two nodes: a beehive sensor node and a LoRa gateway node. The beehive monitoring sensor node is equipped with the ESP32 as a microcontroller, LoRa SX1278, BME680, and KY-037. The LoRa gateway comprises ESP32 and LoRa SX1278 and is interfaced with Ubidots through Node-Red. The developed prototype was tested at four locations at varying distances in the Mahallah Ruqayyah Kelulut farm. The result shows that LoRa is feasible for remote monitoring because it can reliably transmit data up to 58 meters despite a higher data rate. The Ubidots dashboard displays the temperature, humidity percentage, air quality, pressure, sound levels, and RSSI value for thorough insights into the bee's condition, as it can be accessed using web and mobile applications. Overall, the stingless bee remote monitoring system using LoRa communication is a promising solution for outdoor applications between the sender and receiver for data transmission in remote areas.
format Article
author Ahmad, Yasser Arul
Nurul Salshabila, Mustapa
Anis Hannani, Razaman
Muhammad Nasrin Aqil, Abdul Hamid
Noreha, Abdul Malik
Mohd Faizal, Jamlos
author_facet Ahmad, Yasser Arul
Nurul Salshabila, Mustapa
Anis Hannani, Razaman
Muhammad Nasrin Aqil, Abdul Hamid
Noreha, Abdul Malik
Mohd Faizal, Jamlos
author_sort Ahmad, Yasser Arul
title Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
title_short Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
title_full Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
title_fullStr Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
title_full_unstemmed Integration of LoRa IoT with cloud platform in stingless beehive remote monitoring system
title_sort integration of lora iot with cloud platform in stingless beehive remote monitoring system
publisher International Islamic University Malaysia-IIUM
publishDate 2025
url http://umpir.ump.edu.my/id/eprint/43844/1/Integration%20of%20lora%20iot%20with%20cloud%20platform%20in%20stingless%20beehive%20remote%20monitoring%20system.pdf
http://umpir.ump.edu.my/id/eprint/43844/
https://doi.org/10.31436/IIUMEJ.V26I1.3531
https://doi.org/10.31436/IIUMEJ.V26I1.3531
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score 13.251813

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