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dc.contributor.authorLewis, Micah Anthony
dc.date.accessioned2014-03-04T02:27:41Z
dc.date.available2014-03-04T02:27:41Z
dc.date.issued2006-12
dc.identifier.otherlewis_micah_a_200612_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/lewis_micah_a_200612_ms
dc.identifier.urihttp://hdl.handle.net/10724/23669
dc.description.abstractVarious oil seed and cereal grain products are stored by farmers and commercial manufacturers each year, world wide. However, it is while in storage that these products are most susceptible to quality degradation or even spoilage. Present detection methods, such as random sampling, are not practical for preventing such events during storage. Therefore, our system was designed to rectify this occurrence. The system is a conglomerate of real-time monitoring and data management. Utilizing a sensor network, streaming data are analyzed to determine the conditions of the stored product and decide if any corrective action is needed, such as aeration. The system also affords the functionality of storing and querying historical data. This thesis explains how various computer science concepts were pooled together to construct this real-life application.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectSensor network
dc.subjectUSDA
dc.subjectReal-time monitoring
dc.subjectSemantic web
dc.subjectRDF
dc.subjectCereal grain
dc.subjectOil seed
dc.subjectGrain spoilage
dc.subjectOntology
dc.subjectOWL
dc.titleEfficient monitoring of seed and grain storage for the prevention of product degradation
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorWalter D. Potter
dc.description.committeeWalter D. Potter
dc.description.committeeSamir Trabelsi
dc.description.committeeBudak Arpinar


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