Electronic Nose for coffee quality control

被引：0

作者：

Pardo, M ^{[1
]}

Faglia, G ^{[1
]}

Sberveglieri, G ^{[1
]}

Quercia, L ^{[1
]}

机构：

[1] Univ Brescia, INFM Gas Sensor, I-25133 Brescia, Italy

来源：

IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS | 2001年

关键词：

Electronic Nose; thin film sensors; multilayer perceptrons;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Two groups of seven coffees have been analyzed with the Pico-1 Electronic Nose (EN) developed at the Brescia University. Inside each group, coffees have been classified with PCA and Multilayer Perceptrons (MLP) giving classification rates above 90%. Cups of coffee were analyzed by two panels of trained judges who assessed quantitative descriptors and a global index (Hedonic Index, III) characterizing the sensorial appeal of the coffee. These parameters were predicted starting from the measurements performed with Pico-1 The standard deviation for the prediction of the HI are comparable to the uncertainty of the HI itself (0.2 on a 1 to 9 scale).

引用

页码：123 / 127

页数：3