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A rule-based quality analytics system for the global wine industry

journal contribution
posted on 2024-04-09, 05:32 authored by C K H Lee, K M Y Law, A W H Ip
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.

History

Journal

Journal of Global Information Management

Volume

29

Pagination

256 - 273

ISSN

1062-7375

eISSN

1533-7995