A New E-Commerce Model Suggestion of Agricultural Products

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2024

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Springer Science and Business Media Deutschland GmbH

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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This 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.

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E-Commerce, E-Farm, Internet of things, Smart box

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Q4

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Lecture Notes in Networks and Systems -- Science and Information Conference, SAI 2024 -- 11 July 2024 through 12 July 2024 -- London -- 313889

Volume

1016 LNNS

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Start Page

277

End Page

288

URI

https://doi.org/10.1007/978-3-031-62281-6_20
 https://hdl.handle.net/20.500.14411/7389

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Scopus