A New E-Commerce Model Suggestion of Agricultural Products

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dc.authorscopusid57213371849
dc.authorscopusid59211549500
dc.authorscopusid59211778800
dc.contributor.authorEryılmaz, Meltem
dc.contributor.authorBriman,M.K.H.
dc.contributor.authorYakut,G.
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-09-10T21:35:56Z
dc.date.available2024-09-10T21:35:56Z
dc.date.issued2024
dc.departmentAtılım Universityen_US
dc.department-tempEryılmaz M., Software Engineering Department, OSTIM Technical University, Ankara, 06374, Turkey; Briman M.K.H., Computer Engineering Department, Atilim University, Kizilcasar Mahallesi, Incek Golbasi, Ankara, 06830, Turkey; Yakut G., Computer Engineering Department, Atilim University, Kizilcasar Mahallesi, Incek Golbasi, Ankara, 06830, Turkeyen_US
dc.description.abstractThis study aims to create an e-commerce application that enables farmers to sell their products directly to their customers without resorting to intermediaries by a smart cargo box. It presents a method by which the agricultural industry can gain momentum in e-commerce. The main contributions of the study are an e-commerce application that enables farmers to sell their products directly to the customer without the need for an intermediary and the design and implementation of a smart cargo box that is tailored to carry agricultural items throughout the delivery process that locks and unlocks only via QR code generated by the application after order. Django Framework Next.js, React.js, and Redux are used for the system development. The database is created with PostgreSQL using migrations, and Amazon Web Services is used for this database. The “ESP32 Cam” is used to read the QR Code. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.identifier.citation0
dc.identifier.doi10.1007/978-3-031-62281-6_20
dc.identifier.endpage288en_US
dc.identifier.isbn978-303162280-9
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85198039779
dc.identifier.scopusqualityQ4
dc.identifier.startpage277en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-62281-6_20
dc.identifier.urihttps://hdl.handle.net/20.500.14411/7389
dc.identifier.volume1016 LNNSen_US
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systems -- Science and Information Conference, SAI 2024 -- 11 July 2024 through 12 July 2024 -- London -- 313889en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectE-Commerceen_US
dc.subjectE-Farmen_US
dc.subjectInternet of thingsen_US
dc.subjectSmart boxen_US
dc.titleA New E-Commerce Model Suggestion of Agricultural Productsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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