Nguyen, Van Duy, Pham, Tri Cong, Le, Chi Hieu ORCID: https://orcid.org/0000-0002-5168-2297, Huynh, Thanh Trung, Le, Tan Hung and Packianather, Michael (2023) An innovative and smart agriculture platform for improving the coffee value chain and supply chain. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 185-197. ISBN 978-9811964497; 978-9811964503 (doi:10.1007/978-981-19-6450-3_19)

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Abstract

Vietnam is the world’s second biggest producer of coffee and has been an exporter for several decades. However, Vietnam has been facing many well-documented issues and challenges in the whole coffee supply chain such as climate change; low productivity, poor quality and high cost; excessive use of fertilizing products and irrigations; poor collection, processing and storage solution; low sustainability and limited value-added coffee products; and low applications of smart and sustainable agriculture solutions. This paper introduces an innovative and smart agriculture (INNSA) platform for the creation and operation of a sustainable coffee value chain, with the focus on enhanced quality and added values for key elements of the coffee supply chain in Vietnam. The platform is designed based on the foundations of the key enabling digital transformation and smart agriculture technologies: Smart devices and Internet of Things, big data, artificial intelligence, blockchain and source traceability technologies, and sustainable design and manufacturing. The INNSA platform has the following key features: a smart database with real-time data inputs and updates, cost-effectiveness, and open-architectures for effective integrations of the enabling digital transformation and smart agriculture technologies. The smart platform and ecosystem of INNSA provides the information portal and open-access database for all key factors of coffee supply chain, enabling them to join and interact with each other to bring the coffee industry of Vietnam to a higher level, well-recognized in terms of values, branding and sustainability.

Item Type:	Book Section
Additional Information:	Part of the Studies in Computational Intelligence book series (SCI, volume 1068).
Uncontrolled Keywords:	coffee value chain; big data; Artificial Intelligence; source traceability technology; Internet of things; Vietnam
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science S Agriculture > S Agriculture (General) T Technology > TJ Mechanical engineering and machinery
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	08 Mar 2023 12:28
URI:	http://gala.gre.ac.uk/id/eprint/38750

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