Cloud-based data management system for automatic real-time data acquisition from large-scale laying-hen farms

dc.contributor.author Chen, Hongqian
dc.contributor.author Xin, Hongwei
dc.contributor.author Teng, Guanghui
dc.contributor.author Meng, Chaoying
dc.contributor.author Du, Xiaodong
dc.contributor.author Mao, Taotao
dc.contributor.author Wang, Cheng
dc.contributor.department Department of Agricultural and Biosystems Engineering (ENG)
dc.date 2018-02-17T22:12:55.000
dc.date.accessioned 2020-06-29T22:42:26Z
dc.date.available 2020-06-29T22:42:26Z
dc.date.issued 2016-01-01
dc.description.abstract <p>: Management of poultry farms in China mostly relies on manual labor. Since such a large amount of valuable data for the production process either are saved incomplete or saved only as paper documents, making it very difficult for data retrieve, processing and analysis. An integrated cloud-based data management system (CDMS) was proposed in this study, in which the asynchronous data transmission, distributed file system, and wireless network technology were used for information collection, management and sharing in large-scale egg production. The cloud-based platform can provide information technology infrastructures for different farms. The CDMS can also allocate the computing resources and storage space based on demand. A real-time data acquisition software was developed, which allowed farm management staff to submit reports through website or smartphone, enabled digitization of production data. The use of asynchronous transfer in the system can avoid potential data loss during the transmission between farms and the remote cloud data center. All the valid historical data of poultry farms can be stored to the remote cloud data center, and then eliminates the need for large server clusters on the farms. Users with proper identification can access the online data portal of the system through a browser or an APP from anywhere worldwide.</p>
dc.description.comments <p>This article is from <em>International Journal of Agricultural and Biological Engineering</em> 9 (2016): 106-115, doi:<a href="http://dx.doi.org/10.3965/j.ijabe.20160904.2488" target="_blank">10.3965/j.ijabe.20160904.2488</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/760/
dc.identifier.articleid 2043
dc.identifier.contextkey 9107926
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/760
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1559
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/760/2016_Chen_CloudbasedData.pdf|||Sat Jan 15 01:51:17 UTC 2022
dc.source.uri 10.3965/j.ijabe.20160904.2488
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords cloud-based data management system (CDMS)
dc.subject.keywords egg production
dc.subject.keywords intensified laying-hen farms
dc.subject.keywords asynchronous data transmission
dc.subject.keywords metadata
dc.title Cloud-based data management system for automatic real-time data acquisition from large-scale laying-hen farms
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 36e0a8ce-fa2e-4df4-9f67-8d1717122650
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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