Potential of NIR spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems

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• 作者：Maria Luisa Amodio^a ; ^{marialuisa.amodio@unifg.it} ; Francesco Ceglie^a ; ^b ; ^{ceglie@iamb.it} ; Muhammad Mudassir Arif Chaudhry^a ; Francesca Piazzolla^a ; Giancarlo Colelli^a
• 关键词：Prediction ; Classification ; Partial least squares ; Organic farming ; Certification
• 刊名：Postharvest Biology and Technology
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：125
• 期：Complete
• 页码：112-121
• 全文大小：1278 K
• 卷排序：125

文摘

NIR spectroscopy was used for prediction of strawberry quality attributes. R2 in the range of 0.58–0.86 was achieved by prediction models for TA, TSS and pH. PLS-DA classified fuit by production system with high sensitivity and specificity.