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dc.contributor.authorGüven, İslam
dc.contributor.authorParlak, Mehmet
dc.date.accessioned2023-08-03T10:42:35Z
dc.date.available2023-08-03T10:42:35Z
dc.date.issued2022
dc.identifier.isbn978-1-6654-5198-7
dc.identifier.urihttp://hdl.handle.net/10679/8554
dc.identifier.urihttps://ieeexplore.ieee.org/document/10087152
dc.description.abstractRecently, the usage of blockchain on swarm UAV applications has gained popularity due to the simplicity and security of the designed frameworks. Applications of drones to precision architecture have also been a prominent research topic for years. However, architectures that use drones as a service (DAAS) for such applications are still lacking some detailed analysis. This paper addresses the known problems and challenges of swarm UAV networks, such as availability, route de-confliction, confidentiality and authenticity, and energy consumption. It presents a conceptual solution and architecture for blockchain and computer vision-assisted precision agriculture applications of swarm UAVs through a combination of early designs of agriculture-specific system components and methods adapted from proposed frameworks for other fields in the industry.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)
dc.rightsrestrictedAccess
dc.titleBlockchain, aI and IoT empowered swarm drones for precision agriculture applicationsen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-0276-9289 & YÖK ID 378703) Parlak, Mehmet
dc.contributor.ozuauthorParlak, Mehmet
dc.identifier.wosWOS:000984502600037
dc.identifier.doi10.1109/iGETblockchain56591.2022.10087152en_US
dc.subject.keywordsArtificial intelligenceen_US
dc.subject.keywordsBlockchainen_US
dc.subject.keywordsFederal learningen_US
dc.subject.keywordsInternet of thingsen_US
dc.subject.keywordsSwarms, swarm dronesen_US
dc.identifier.scopusSCOPUS:2-s2.0-85153879874
dc.contributor.ozugradstudentGüven, İslam
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Undergraduate Student


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