Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76290
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dc.contributor.authorYotsaphat Kittichotsatsawaten_US
dc.contributor.authorVarattaya Jangkrajarngen_US
dc.contributor.authorKorrakot Yaibuathet Tippayawongen_US
dc.date.accessioned2022-10-16T07:07:49Z-
dc.date.available2022-10-16T07:07:49Z-
dc.date.issued2021-04-02en_US
dc.identifier.issn20711050en_US
dc.identifier.other2-s2.0-85105137869en_US
dc.identifier.other10.3390/su13084593en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105137869&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76290-
dc.description.abstractModern 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectEnergyen_US
dc.subjectEngineeringen_US
dc.subjectEnvironmental Scienceen_US
dc.subjectSocial Sciencesen_US
dc.titleEnhancing coffee supply chain towards sustainable growth with big data and modern agricultural technologiesen_US
dc.typeJournalen_US
article.title.sourcetitleSustainability (Switzerland)en_US
article.volume13en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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