Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76290
Title: Enhancing coffee supply chain towards sustainable growth with big data and modern agricultural technologies
Authors: Yotsaphat Kittichotsatsawat
Varattaya Jangkrajarng
Korrakot Yaibuathet Tippayawong
Authors: Yotsaphat Kittichotsatsawat
Varattaya Jangkrajarng
Korrakot Yaibuathet Tippayawong
Keywords: Computer Science;Energy;Engineering;Environmental Science;Social Sciences
Issue Date: 2-Apr-2021
Abstract: Modern agricultural technology management is nowadays crucial in terms of the economy and the global market, while food safety, quality control, and environmentally friendly practices should not be neglected. This review aims to give perspectives on applying big data analytic and modern technologies to increase the efficacy and effectiveness of the coffee supply chain throughout the process. It was revealed that several tools such as wireless sensor networks, cloud computing, Internet of Things (IoT), image processing, convolutional neural networks (CNN), and remote sensing could be implemented in and used to improve the coffee supply chain. Those tools could help in reducing cost as well as time for entrepreneurs and create a reliable service for the customer. It can be summarized that in the long term, these modern technologies will be able to assist coffee business management and ensure the sustainable growth for the coffee industry.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105137869&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/76290
ISSN: 20711050
Appears in Collections:CMUL: Journal Articles

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