Comparison between FT-NIR and Micro-NIR in the evaluation of Acerola fruit quality, using PLS and SVM regression algorithms.
Comparison between FT-NIR and Micro-NIR in the evaluation of Acerola fruit quality, using PLS and SVM regression algorithms.
Author(s): MALEGORI, C.; MARQUESM E.; AVELAR, M. F. P.; FREITAS, S. T. de; SOUZA, F. de F.; PASQUINI, C.; CASIRAGHI, E.
Summary: The aim of this work is to estimate in a non-destructive manner, in acerola fruit, titratable acidity and ascorbic acid content.
Publication year: 2015
Types of publication: Abstract in annals or event proceedings
Unit: Embrapa Semi-arid Region
Keywords: Acerola, Malphighia emarginata, Ácido arbóreco
Observation
Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.
Access other publications
Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.