Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

<Previous Article In Volume
Next Article In Volume>

Emerging Crop Traceability Systems in Smart Farming: A Review

Authors
Ummul Hanan Mohamad1, *, David Wong You King1, 2, Muhammad Arif bin Riza3, Mohammad Nazir Ahmad1
1Institute of IR4.0, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
2ARB Berhad, 1703 QSentral 2A, Jalan Stesen Sentral 2, Kuala Lumpur Central, 50470, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
3School of Engineering and Physical Sciences, Heriot-Watt University, 1, Jalan Venna P5/2, Precint 5, 62200, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia
*Corresponding author. Email: ummulhanan@ukm.edu.my
Corresponding Author
Ummul Hanan Mohamad
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-094-7_15How to use a DOI?
Keywords
Blockchain; Farm Management; Food Safety; Quality Traceability; Smart Agriculture
Abstract

Traceability is the ability to retrieve the history, use, location or activity of an identified item, hence crop traceability system is a system that provides unique identification to the crop and tracks all information from the seed until the end product in the market. Crop traceability is beneficial to agri-business owners, farmers and consumers as it enables the production of quality crops. This paper aims to study the emerging crop traceability technologies in smart farming and present the possible solutions to improve the crop traceability system based on the ICT perspective. Some of the technologies involved are barcode, QR code, RFID, IoT, artificial intelligence and blockchain. Among these technologies, blockchain is seen to be the future technology suitable to improve the crop traceability system. However, the integration of blockchain into the existing system is still in the infancy stage.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-094-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-094-7_15How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ummul Hanan Mohamad
AU  - David Wong You King
AU  - Muhammad Arif bin Riza
AU  - Mohammad Nazir Ahmad
PY  - 2022
DA  - 2022/12/27
TI  - Emerging Crop Traceability Systems in Smart Farming: A Review
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 182
EP  - 194
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_15
DO  - 10.2991/978-94-6463-094-7_15
ID  - Mohamad2022
ER  -