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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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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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 |
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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 |
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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. |
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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. |
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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 |
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IoT platform for precision stingless bee farming |
title_sort |
iot platform for precision stingless bee farming |
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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 |
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1698696983006412800 |
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13.209306 |