Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees

The paper aims to develop a weight-sensing system and monitoring platform to track the activity patterns of a stingless bee colony using a weight-sensing system that consists of an Arduino Mega, a NodeMCU ESP8266, and load cell as weight sensors with a Real-Time Clock (RTC) module. The system was de...

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Published in:Instrumentation Mesure Metrologie
Main Author: Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
Format: Article
Language:English
Published: International Information and Engineering Technology Association 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192483109&doi=10.18280%2fi2m.230202&partnerID=40&md5=2e7fa7a374c8f61dc79d8100ec5558e6
id 2-s2.0-85192483109
spelling 2-s2.0-85192483109
Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
2024
Instrumentation Mesure Metrologie
23
2
10.18280/i2m.230202
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192483109&doi=10.18280%2fi2m.230202&partnerID=40&md5=2e7fa7a374c8f61dc79d8100ec5558e6
The paper aims to develop a weight-sensing system and monitoring platform to track the activity patterns of a stingless bee colony using a weight-sensing system that consists of an Arduino Mega, a NodeMCU ESP8266, and load cell as weight sensors with a Real-Time Clock (RTC) module. The system was designed with an improved weight sensor that includes triangle or delta positioning and placement for greater stability on the log hive. It also featured real-time mobile monitoring via the Blynk application, which sends weight measurements continuously via Wi-Fi. It shows that the weight fluctuations indicate that the stingless bees are most active in their foraging activities between 9:00 and 13:00, with occasional activity between 21:00 and 22:00, gathering food sources to produce honey or beebread. Consequently, analysing the daily pattern of weight measurements using a correlation analysis throughout a week enable beekeepers to observe their diverse foraging patterns. These patterns can be strongly linked to the movements of active bees, human interference, or environmental errors when the correlation value approaches one. The findings of this research can assist beekeepers in understanding routine activities by observing the foraging patterns of stingless bees, which could reveal valuable insights regarding bee health and honey production levels and help detect a decline in the bee colony. This can be achieved by utilising Internet of Things (IoT) technology to enhance hive management practices. Copyright: ©2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license.
International Information and Engineering Technology Association
16314670
English
Article
All Open Access; Hybrid Gold Open Access
author Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
spellingShingle Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
author_facet Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
author_sort Md Jani M.M.; Hairuddin M.A.; Ja’afar H.; Rustam I.; Almisreb A.A.; Khirul Ashar N.D.
title Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
title_short Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
title_full Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
title_fullStr Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
title_full_unstemmed Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
title_sort Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees
publishDate 2024
container_title Instrumentation Mesure Metrologie
container_volume 23
container_issue 2
doi_str_mv 10.18280/i2m.230202
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192483109&doi=10.18280%2fi2m.230202&partnerID=40&md5=2e7fa7a374c8f61dc79d8100ec5558e6
description The paper aims to develop a weight-sensing system and monitoring platform to track the activity patterns of a stingless bee colony using a weight-sensing system that consists of an Arduino Mega, a NodeMCU ESP8266, and load cell as weight sensors with a Real-Time Clock (RTC) module. The system was designed with an improved weight sensor that includes triangle or delta positioning and placement for greater stability on the log hive. It also featured real-time mobile monitoring via the Blynk application, which sends weight measurements continuously via Wi-Fi. It shows that the weight fluctuations indicate that the stingless bees are most active in their foraging activities between 9:00 and 13:00, with occasional activity between 21:00 and 22:00, gathering food sources to produce honey or beebread. Consequently, analysing the daily pattern of weight measurements using a correlation analysis throughout a week enable beekeepers to observe their diverse foraging patterns. These patterns can be strongly linked to the movements of active bees, human interference, or environmental errors when the correlation value approaches one. The findings of this research can assist beekeepers in understanding routine activities by observing the foraging patterns of stingless bees, which could reveal valuable insights regarding bee health and honey production levels and help detect a decline in the bee colony. This can be achieved by utilising Internet of Things (IoT) technology to enhance hive management practices. Copyright: ©2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license.
publisher International Information and Engineering Technology Association
issn 16314670
language English
format Article
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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