论文标题

咖啡烤智能

Coffee Roast Intelligence

论文作者

Ontoum, Sakdipat, Khemanantakul, Thitaree, Sroison, Pornphat, Triyason, Tuul, Watanapa, Bunthit

论文摘要

随着咖啡行业的发展,对烤咖啡豆的需求将更多,以及销售咖啡和吸引顾客的竞争增加。由于每种咖啡的味道取决于咖啡豆的烘烤程度,因此保持与烘焙程度一致的质量至关重要。每个咖啡师都有自己的方法来确定烘烤程度。但是,诸如光,疲劳和其他因素之类的外部情况可能会改变其判断力。结果,咖啡的质量无法控制。咖啡烤智能应用程序是一项基于机器学习的研究,对作为Android应用程序平台生产的烤咖啡豆学位分类,可通过在烘烤时拍摄或上传咖啡豆的颜色来识别咖啡豆的颜色。该应用程序显示了文本,显示咖啡豆已经烤了哪个级别,并告知了向消费者进行课堂预测的百分比。用户还可以跟踪与咖啡豆烘焙水平有关的预测结果。

As the coffee industry has grown, there would be more demand for roasted coffee beans, as well as increased rivalry for selling coffee and attracting customers. As the flavor of each variety of coffee is dependent on the degree of roasting of the coffee beans, it is vital to maintain a consistent quality related to the degree of roasting. Each barista has their own method for determining the degree of roasting. However, extrinsic circumstances such as light, fatigue, and other factors may alter their judgment. As a result, the quality of the coffee cannot be controlled. The Coffee Roast Intelligence application is a machine learning-based study of roasted coffee bean degrees classification produced as an Android application platform that identifies the color of coffee beans by photographing or uploading them while roasting. This application displays the text showing at what level the coffee beans have been roasted, as well as informs the percent chance of class prediction to the consumers. Users may also keep track of the result of the predictions related to the roasting level of coffee beans.

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