Partial least square with discriminant analysis and near infrared spectroscopy for evaluation of geographic and genotypic origin of arabica coffee
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- 作者：Izabele Marquettia ; Jade Varaschim Linka ; b ; André ; Luis Guimarã ; es Lemesa ; Maria Brí ; gida dos Santos Scholzc ; Patrí ; cia Valderramaa ; Evandro Bonaa ; ebona@utfpr.edu.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Green coffee ; Arabica ; Growing region ; Genotype ; Near infrared spectroscopy ; PLS-DA
- 刊名：Computers and Electronics in Agriculture
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：121
- 期：Complete
- 页码：313-319
- 全文大小：1592 K
文摘
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A fast and sample preparation free methodology was used to determine coffee origin.
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PLS-DA model is successful to predict geographic and genotype origin.
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NIR-PLS-DA is able to identify genotype that promotes better quality coffee.