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Design and development of stingless beehive air pollutant monitoring system

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cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 16ea09ab-96e6-4b14-96d7-7206530a395e
cris.virtualsource.department eb4e1829-7715-462f-b215-0ad80dd3efcd
cris.virtualsource.department c074e684-00ff-44f4-a69a-cc19c7850721
cris.virtualsource.department 11488806-0177-4c4d-aa0b-9d0b72628b86
cris.virtualsource.department 2dab9ecc-7fc7-4448-b0bf-3021c88519e2
cris.virtualsource.department fe956e29-82ee-486c-b764-d30fe182c2a9
dc.contributor.author Mohammad Fadzli Ramli
dc.contributor.author Azizi Harun
dc.contributor.author Rizalafande Che Ismail
dc.contributor.author Ndzi, David Lorater
dc.contributor.author Turner, Jamie Siregar Cynthia
dc.contributor.author Rohani S Mohamed Farook
dc.contributor.author Mohd Nazrin Md Isa
dc.contributor.author Sohiful Anuar Zainol Murad
dc.date.accessioned 2024-07-19T10:12:26Z
dc.date.available 2024-07-19T10:12:26Z
dc.date.issued 2021-12
dc.description.abstract Currently, the presence and levels of air pollution in most stingless bee farms are not measured periodically nor there are proper monitoring levels that can be attributed to hive productivity. Long-term measurement and monitoring of air pollution for hive productivity and honey yield have not been performed. Therefore, this research proposes long-term and real-time air pollution measurement and monitoring techniques that are important for correlation analysis and parameter modeling. By using air pollution detection sensors through a wireless sensor network topology in stingless bee farms, details of pollutant presence and levels will be available in real-time over a long period of time for hive productivity correlation analysis. With such deployment using IoT -based systems, data can be easily accessed from anywhere thus ensuring data continuity. This paper describes a preliminary study on the design, development, and testing of real-time air pollution measurement and monitoring systems capable of determining the health status of stingless bee nests in mixed livestock crop farms. The goal of this research is to help beekeepers/users maintain control and be able to take quick action on the hive from the information obtained.
dc.identifier.uri https://ijneam.unimap.edu.my/index.php/volume-14-december-2021-special-issue-incape-2021
dc.identifier.uri https://ijneam.unimap.edu.my
dc.identifier.uri https://hdl.handle.net/20.500.14170/3298
dc.language.iso en
dc.relation.ispartof International Journal of Nanoelectronics and Materials (IJNeaM)
dc.relation.issn 1985-5761
dc.subject Air pollutant
dc.subject Stingless Bee
dc.subject IoT
dc.subject Wireless sensor Network
dc.title Design and development of stingless beehive air pollutant monitoring system
dc.type Resource Types::text::journal::journal article
dspace.entity.type Publication
oaire.citation.endPage 278
oaire.citation.issue Special Issue InCAPE 2021
oaire.citation.startPage 265
oaire.citation.volume 14
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation University of the West of Scotland
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
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