Data management system of IoT for stingless bee monitoring

In the future, traditional beekeeping requires a precise approach to implementing smart apiary monitoring systems for remotely and optimized bee colony management. This project presents the stingless beehive data collection system remotely using firebase as a real-time database and googles cloud fun...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Anuar, Noor Hafizah Khairul, Yunus, Mohd Amri Md, Baharudin, Muhammad Ariff, Ibrahim, Sallehuddin, Sahlan, Shafishuhaza, Hashem, Mohammad Yusuf Been, Siddique, Mohammad Abdullah
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title
container_volume 2795
creator Anuar, Noor Hafizah Khairul
Yunus, Mohd Amri Md
Baharudin, Muhammad Ariff
Ibrahim, Sallehuddin
Sahlan, Shafishuhaza
Hashem, Mohammad Yusuf Been
Siddique, Mohammad Abdullah
description In the future, traditional beekeeping requires a precise approach to implementing smart apiary monitoring systems for remotely and optimized bee colony management. This project presents the stingless beehive data collection system remotely using firebase as a real-time database and googles cloud functions at the backend. The firebase hosting with android apps connects all registered clients with the database. The database system was designed to allow the user to insert data in two modes: manual data insertion or the Internet of Things (IoT). The primary data such as hive name, colony species, hive location, and harvesting record were manually inserted into the database. In IoT modes, the monitoring hardware continuously pushes more parameters into the database. The parameters consist of temperature, humidity, and honey weight. In addition, the IoT mode provides alert notification services that send critical alerts through the firebase features function. Overall, the designed system acts as a baseline for integrating a mobile application with firebase, which can be extended to include an administration website for the beekeepers in the future.
doi_str_mv 10.1063/5.0121003
format Conference Proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_scitation_primary_10_1063_5_0121003</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2819103090</sourcerecordid><originalsourceid>FETCH-LOGICAL-p168t-2d0db2ef93ab0e967104f55f25d1466102cd1c6608c02e3e6435d576caa247413</originalsourceid><addsrcrecordid>eNp9kE1Lw0AYhBdRsFYP_oMFb0Lq--5XEm9SqxYKXip4WzbJbklpsnF3K_TfG2nBm6eB4ZkZGEJuEWYIij_IGSBDAH5GJiglZrlCdU4mAKXImOCfl-Qqxi0AK_O8mJDHZ5MM7UxvNrazfaLxEJPtqHd06dfU-UBjavvNzsZIK2tp5_s2-TBa1-TCmV20Nyedko-XxXr-lq3eX5fzp1U2oCpSxhpoKmZdyU0FtlQ5gnBSOiYbFEohsLrBWikoamCWWyW4bGSuamOYyAXyKbk79g7Bf-1tTHrr96EfJzUrsETgUMJI3R-pWLfJpNb3eghtZ8JBf_ugpT79oofG_Qcj6N8j_wL8Bx61Ytg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2819103090</pqid></control><display><type>conference_proceeding</type><title>Data management system of IoT for stingless bee monitoring</title><source>AIP Journals Complete</source><creator>Anuar, Noor Hafizah Khairul ; Yunus, Mohd Amri Md ; Baharudin, Muhammad Ariff ; Ibrahim, Sallehuddin ; Sahlan, Shafishuhaza ; Hashem, Mohammad Yusuf Been ; Siddique, Mohammad Abdullah</creator><contributor>Johari, Zaharah ; Abdullah, MD Pauzi ; Yusoff, Mohd Fairus Mohd ; Rahim, Mohamad Kamal A.</contributor><creatorcontrib>Anuar, Noor Hafizah Khairul ; Yunus, Mohd Amri Md ; Baharudin, Muhammad Ariff ; Ibrahim, Sallehuddin ; Sahlan, Shafishuhaza ; Hashem, Mohammad Yusuf Been ; Siddique, Mohammad Abdullah ; Johari, Zaharah ; Abdullah, MD Pauzi ; Yusoff, Mohd Fairus Mohd ; Rahim, Mohamad Kamal A.</creatorcontrib><description>In the future, traditional beekeeping requires a precise approach to implementing smart apiary monitoring systems for remotely and optimized bee colony management. This project presents the stingless beehive data collection system remotely using firebase as a real-time database and googles cloud functions at the backend. The firebase hosting with android apps connects all registered clients with the database. The database system was designed to allow the user to insert data in two modes: manual data insertion or the Internet of Things (IoT). The primary data such as hive name, colony species, hive location, and harvesting record were manually inserted into the database. In IoT modes, the monitoring hardware continuously pushes more parameters into the database. The parameters consist of temperature, humidity, and honey weight. In addition, the IoT mode provides alert notification services that send critical alerts through the firebase features function. Overall, the designed system acts as a baseline for integrating a mobile application with firebase, which can be extended to include an administration website for the beekeepers in the future.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0121003</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Applications programs ; Beekeeping ; Bees ; Colonies ; Data base management systems ; Data collection ; Data management ; Internet of Things ; Mobile computing ; Monitoring ; Parameters ; Project management ; Websites</subject><ispartof>AIP Conference Proceedings, 2023, Vol.2795 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/5.0121003$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,794,4512,23930,23931,25140,27924,27925,76384</link.rule.ids></links><search><contributor>Johari, Zaharah</contributor><contributor>Abdullah, MD Pauzi</contributor><contributor>Yusoff, Mohd Fairus Mohd</contributor><contributor>Rahim, Mohamad Kamal A.</contributor><creatorcontrib>Anuar, Noor Hafizah Khairul</creatorcontrib><creatorcontrib>Yunus, Mohd Amri Md</creatorcontrib><creatorcontrib>Baharudin, Muhammad Ariff</creatorcontrib><creatorcontrib>Ibrahim, Sallehuddin</creatorcontrib><creatorcontrib>Sahlan, Shafishuhaza</creatorcontrib><creatorcontrib>Hashem, Mohammad Yusuf Been</creatorcontrib><creatorcontrib>Siddique, Mohammad Abdullah</creatorcontrib><title>Data management system of IoT for stingless bee monitoring</title><title>AIP Conference Proceedings</title><description>In the future, traditional beekeeping requires a precise approach to implementing smart apiary monitoring systems for remotely and optimized bee colony management. This project presents the stingless beehive data collection system remotely using firebase as a real-time database and googles cloud functions at the backend. The firebase hosting with android apps connects all registered clients with the database. The database system was designed to allow the user to insert data in two modes: manual data insertion or the Internet of Things (IoT). The primary data such as hive name, colony species, hive location, and harvesting record were manually inserted into the database. In IoT modes, the monitoring hardware continuously pushes more parameters into the database. The parameters consist of temperature, humidity, and honey weight. In addition, the IoT mode provides alert notification services that send critical alerts through the firebase features function. Overall, the designed system acts as a baseline for integrating a mobile application with firebase, which can be extended to include an administration website for the beekeepers in the future.</description><subject>Applications programs</subject><subject>Beekeeping</subject><subject>Bees</subject><subject>Colonies</subject><subject>Data base management systems</subject><subject>Data collection</subject><subject>Data management</subject><subject>Internet of Things</subject><subject>Mobile computing</subject><subject>Monitoring</subject><subject>Parameters</subject><subject>Project management</subject><subject>Websites</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kE1Lw0AYhBdRsFYP_oMFb0Lq--5XEm9SqxYKXip4WzbJbklpsnF3K_TfG2nBm6eB4ZkZGEJuEWYIij_IGSBDAH5GJiglZrlCdU4mAKXImOCfl-Qqxi0AK_O8mJDHZ5MM7UxvNrazfaLxEJPtqHd06dfU-UBjavvNzsZIK2tp5_s2-TBa1-TCmV20Nyedko-XxXr-lq3eX5fzp1U2oCpSxhpoKmZdyU0FtlQ5gnBSOiYbFEohsLrBWikoamCWWyW4bGSuamOYyAXyKbk79g7Bf-1tTHrr96EfJzUrsETgUMJI3R-pWLfJpNb3eghtZ8JBf_ugpT79oofG_Qcj6N8j_wL8Bx61Ytg</recordid><startdate>20230525</startdate><enddate>20230525</enddate><creator>Anuar, Noor Hafizah Khairul</creator><creator>Yunus, Mohd Amri Md</creator><creator>Baharudin, Muhammad Ariff</creator><creator>Ibrahim, Sallehuddin</creator><creator>Sahlan, Shafishuhaza</creator><creator>Hashem, Mohammad Yusuf Been</creator><creator>Siddique, Mohammad Abdullah</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230525</creationdate><title>Data management system of IoT for stingless bee monitoring</title><author>Anuar, Noor Hafizah Khairul ; Yunus, Mohd Amri Md ; Baharudin, Muhammad Ariff ; Ibrahim, Sallehuddin ; Sahlan, Shafishuhaza ; Hashem, Mohammad Yusuf Been ; Siddique, Mohammad Abdullah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p168t-2d0db2ef93ab0e967104f55f25d1466102cd1c6608c02e3e6435d576caa247413</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Applications programs</topic><topic>Beekeeping</topic><topic>Bees</topic><topic>Colonies</topic><topic>Data base management systems</topic><topic>Data collection</topic><topic>Data management</topic><topic>Internet of Things</topic><topic>Mobile computing</topic><topic>Monitoring</topic><topic>Parameters</topic><topic>Project management</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anuar, Noor Hafizah Khairul</creatorcontrib><creatorcontrib>Yunus, Mohd Amri Md</creatorcontrib><creatorcontrib>Baharudin, Muhammad Ariff</creatorcontrib><creatorcontrib>Ibrahim, Sallehuddin</creatorcontrib><creatorcontrib>Sahlan, Shafishuhaza</creatorcontrib><creatorcontrib>Hashem, Mohammad Yusuf Been</creatorcontrib><creatorcontrib>Siddique, Mohammad Abdullah</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anuar, Noor Hafizah Khairul</au><au>Yunus, Mohd Amri Md</au><au>Baharudin, Muhammad Ariff</au><au>Ibrahim, Sallehuddin</au><au>Sahlan, Shafishuhaza</au><au>Hashem, Mohammad Yusuf Been</au><au>Siddique, Mohammad Abdullah</au><au>Johari, Zaharah</au><au>Abdullah, MD Pauzi</au><au>Yusoff, Mohd Fairus Mohd</au><au>Rahim, Mohamad Kamal A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Data management system of IoT for stingless bee monitoring</atitle><btitle>AIP Conference Proceedings</btitle><date>2023-05-25</date><risdate>2023</risdate><volume>2795</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>In the future, traditional beekeeping requires a precise approach to implementing smart apiary monitoring systems for remotely and optimized bee colony management. This project presents the stingless beehive data collection system remotely using firebase as a real-time database and googles cloud functions at the backend. The firebase hosting with android apps connects all registered clients with the database. The database system was designed to allow the user to insert data in two modes: manual data insertion or the Internet of Things (IoT). The primary data such as hive name, colony species, hive location, and harvesting record were manually inserted into the database. In IoT modes, the monitoring hardware continuously pushes more parameters into the database. The parameters consist of temperature, humidity, and honey weight. In addition, the IoT mode provides alert notification services that send critical alerts through the firebase features function. Overall, the designed system acts as a baseline for integrating a mobile application with firebase, which can be extended to include an administration website for the beekeepers in the future.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0121003</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP Conference Proceedings, 2023, Vol.2795 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_scitation_primary_10_1063_5_0121003
source AIP Journals Complete
subjects Applications programs
Beekeeping
Bees
Colonies
Data base management systems
Data collection
Data management
Internet of Things
Mobile computing
Monitoring
Parameters
Project management
Websites
title Data management system of IoT for stingless bee monitoring
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T10%3A13%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Data%20management%20system%20of%20IoT%20for%20stingless%20bee%20monitoring&rft.btitle=AIP%20Conference%20Proceedings&rft.au=Anuar,%20Noor%20Hafizah%20Khairul&rft.date=2023-05-25&rft.volume=2795&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0121003&rft_dat=%3Cproquest_scita%3E2819103090%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2819103090&rft_id=info:pmid/&rfr_iscdi=true