A Rule-Based Quality Analytics System for the Global Wine Industry
A Rule-Based Quality Analytics System for the Global Wine Industry
复制标题
DOI：
10.4018/jgim.20210701.oa1
复制
发表时间：
2021-05
期刊：
影响因子：
--
通讯作者：
Carmen K. H. Lee;Kris M. Y. Law;Andrew W. H. Ip
中科院分区：
文献类型：
--
作者：
Carmen K. H. Lee;Kris M. Y. Law;Andrew W. H. Ip
由于消费者需求的不断增长，全球葡萄酒酿造行业面临挑战，特别是在中国，巴西，印度和俄罗斯等新兴市场。葡萄酒生产过程中的质量控制是全球葡萄酒制造商面临的主要挑战之一，以生产具有适合特定市场的适当感官特性的葡萄酒。葡萄酒的生产质量由许多环境因素构成，如气候，土壤和温度，这些因素影响感官特性和整体质量。提出了一种基于规则的质量分析系统（RBQAS），用于捕获葡萄酒生产过程中的理化数据，并从数据中研究隐藏的模式，以进行质量预测。它由物联网实时捕获数据组成，然后进行关联规则挖掘，以确定葡萄酒的感官和物理化学特性之间的关系。
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.