IoT platform for precision stingless bee farming

In this paper, the construction of an IoT system for precision stingless bee farming is presented. In the proposed system, the weight, the internal and external temperatures and the relative humidity of the beehive are the data being monitored. Sensors utilized are load cell sensors and DHT22 temper...

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Main Authors: Khairul Anuar, N. H., Md. Yunus, M. A., Baharuddin, M. A., Sahlan, S., Abid, A., Ramli, M. M., Abu Amin, M. R., Mohd. Lotpi, Z. F.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/90770/1/NoorHafizahKhairul2019_IoTPlatformforPrecisionStinglessBeeFarming.pdf
http://eprints.utm.my/id/eprint/90770/
http://dx.doi.org/10.1109/I2CACIS.2019.8825089
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spelling my.utm.907702021-04-30T14:30:33Z http://eprints.utm.my/id/eprint/90770/ IoT platform for precision stingless bee farming Khairul Anuar, N. H. Md. Yunus, M. A. Baharuddin, M. A. Sahlan, S. Abid, A. Ramli, M. M. Abu Amin, M. R. Mohd. Lotpi, Z. F. TK Electrical engineering. Electronics Nuclear engineering In this paper, the construction of an IoT system for precision stingless bee farming is presented. In the proposed system, the weight, the internal and external temperatures and the relative humidity of the beehive are the data being monitored. Sensors utilized are load cell sensors and DHT22 temperature and humidity sensors. The main hardware setup was built using a NodeMCU microcontroller. Data from the proposed system were collected for 36 hours and the collected data was periodically saved into a cloud storage for an interval of every 7 seconds. From the results obtained, the honey produced by the beehives are recorded at 2.63 kg. Meanwhile, the maximum external temperature recorded was 30.6 0C, and the minimum external relative humidity was recorded at 67.6 %. From these information, the production of the stingless beehive honey production, as well as the security of the beehive from being stolen or vandalize can be predicted. Moreover, the health of the beehive from fungus growth can be estimated in the future. The platform has all functionalities of an advanced monitoring system, complete with an IoT application. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90770/1/NoorHafizahKhairul2019_IoTPlatformforPrecisionStinglessBeeFarming.pdf Khairul Anuar, N. H. and Md. Yunus, M. A. and Baharuddin, M. A. and Sahlan, S. and Abid, A. and Ramli, M. M. and Abu Amin, M. R. and Mohd. Lotpi, Z. F. (2019) IoT platform for precision stingless bee farming. In: 2019 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019, 29 Jun 2019, Grand Blue Wave Hotel Selangor, Malaysia. http://dx.doi.org/10.1109/I2CACIS.2019.8825089 DOI: 10.1109/I2CACIS.2019.8825089
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Khairul Anuar, N. H.
Md. Yunus, M. A.
Baharuddin, M. A.
Sahlan, S.
Abid, A.
Ramli, M. M.
Abu Amin, M. R.
Mohd. Lotpi, Z. F.
IoT platform for precision stingless bee farming
description In this paper, the construction of an IoT system for precision stingless bee farming is presented. In the proposed system, the weight, the internal and external temperatures and the relative humidity of the beehive are the data being monitored. Sensors utilized are load cell sensors and DHT22 temperature and humidity sensors. The main hardware setup was built using a NodeMCU microcontroller. Data from the proposed system were collected for 36 hours and the collected data was periodically saved into a cloud storage for an interval of every 7 seconds. From the results obtained, the honey produced by the beehives are recorded at 2.63 kg. Meanwhile, the maximum external temperature recorded was 30.6 0C, and the minimum external relative humidity was recorded at 67.6 %. From these information, the production of the stingless beehive honey production, as well as the security of the beehive from being stolen or vandalize can be predicted. Moreover, the health of the beehive from fungus growth can be estimated in the future. The platform has all functionalities of an advanced monitoring system, complete with an IoT application.
format Conference or Workshop Item
author Khairul Anuar, N. H.
Md. Yunus, M. A.
Baharuddin, M. A.
Sahlan, S.
Abid, A.
Ramli, M. M.
Abu Amin, M. R.
Mohd. Lotpi, Z. F.
author_facet Khairul Anuar, N. H.
Md. Yunus, M. A.
Baharuddin, M. A.
Sahlan, S.
Abid, A.
Ramli, M. M.
Abu Amin, M. R.
Mohd. Lotpi, Z. F.
author_sort Khairul Anuar, N. H.
title IoT platform for precision stingless bee farming
title_short IoT platform for precision stingless bee farming
title_full IoT platform for precision stingless bee farming
title_fullStr IoT platform for precision stingless bee farming
title_full_unstemmed IoT platform for precision stingless bee farming
title_sort iot platform for precision stingless bee farming
publishDate 2019
url http://eprints.utm.my/id/eprint/90770/1/NoorHafizahKhairul2019_IoTPlatformforPrecisionStinglessBeeFarming.pdf
http://eprints.utm.my/id/eprint/90770/
http://dx.doi.org/10.1109/I2CACIS.2019.8825089
_version_ 1698696983006412800
score 13.209306