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A New E-Commerce Model Suggestion of Agricultural Products

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Intelligent Computing (SAI 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1016))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Software Engineering Department, OSTIM Technical University, Ankara, 06374, Turkey

    Meltem Eryılmaz

  2. Computer Engineering Department, Atilim University, Kizilcasar Mahallesi, Incek Golbasi, Ankara, 06830, Turkey

    Mohammed Khalid Hilmi Briman & Gökçe Yakut

Authors
  1. Meltem Eryılmaz
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  2. Mohammed Khalid Hilmi Briman
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  3. Gökçe Yakut
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Corresponding author

Correspondence to Meltem Eryılmaz .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Eryılmaz, M., Briman, M.K.H., Yakut, G. (2024). A New E-Commerce Model Suggestion of Agricultural Products. In: Arai, K. (eds) Intelligent Computing. SAI 2024. Lecture Notes in Networks and Systems, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-031-62281-6_20

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