A Rule-Based Quality Analytics System for the Global Wine Industry Lee, Carmen K.H., Law, Mo Yin Kris and Ip, Andrew W.H. 2021, A Rule-Based Quality Analytics System for the Global Wine Industry, Journal of Global Information Management, vol. 29, no. 3, pp. 1-18, doi: 10.4018/jgim.20210701.oa1. Attached Files Name Description MIMEType Size Downloads Title A Rule-Based Quality Analytics System for the Global Wine Industry Author(s) Lee, Carmen K.H. Law, Mo Yin Kris orcid.org/0000-0003-3659-0033 Ip, Andrew W.H. Journal name Journal of Global Information Management Volume number 29 Issue number 3 Start page 1 End page 18 Total pages 18 Publisher IGI Global Place of publication Harrisburg, Pa. Publication date 2021 ISSN 1062-7375 1533-7995 Keyword(s) Association Rules Data Mining Global Wine Industry Physiochemical Property Predictive Analytics Quality Management Sensorial Property Wine Production Summary The global wine-making industry has faced challenges due to the increasing demands of consumers, particularly in emerging markets such as China, Brazil, India, and Russia. Controlling the quality during wine production is one of the key challenges faced by global winemakers to produce wine with appropriate sensorial properties tailored to specific markets. The wine production quality is constituted from a number of environmental factors such as climate, soil, and temperature, which affect the sensorial properties and the overall quality. This paper proposed a rule-based quality analytics system (RBQAS) to capture physicochemical data during wine production and to investigate the hidden patterns from the data for quality prediction. It consists of IoT for data capture on a real-time basis, followed by association rule mining to identify relationships between sensorial and physicochemical properties of wine. Language eng DOI 10.4018/jgim.20210701.oa1 Indigenous content off Field of Research 0806 Information Systems 0807 Library and Information Studies 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30144052 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 15 Oct 2020, 07:23:02 EST Thu, 15 Oct 2020, 11:06:35 EST Thu, 15 Oct 2020, 11:25:17 EST Thu, 15 Oct 2020, 11:43:16 EST Fri, 16 Oct 2020, 05:04:27 EST Mon, 19 Oct 2020, 14:12:01 EST Mon, 19 Oct 2020, 14:13:12 EST Mon, 19 Oct 2020, 15:02:12 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 108 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 15 Oct 2020, 11:43:16 EST

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