Title:	Comparison between FT-NIR and Micro-NIR in the evaluation of Acerola fruit quality, using PLS and SVM regression algorithms.
Authors:	MALEGORI, C. MARQUESM E. AVELAR, M. F. P. FREITAS, S. T. de SOUZA, F. de F. PASQUINI, C. CASIRAGHI, E.
Affiliation:	CRISTINA MALEGORI, Università degli Studi di Milano; EMANUEL MARQUES, UFPE; MARIA FERNANDA PIMENTEL AVELAR, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; FLAVIO DE FRANCA SOUZA, CPATSA; CELIO PASQUINI, UNICAMP; ERNESTINA CASIRAGHI, University of Milan.
Date Issued:	2015
Citation:	In: INTERNATIONAL CONFERENCE ON NEAR INFRARED SPECTROSCOPY, 17., 2015, Foz do Iguassu. Book of abstracts. [S.l]: International Council for Near Infrared Spectroscopy, 2015.
Description:	The aim of this work is to estimate in a non-destructive manner, in acerola fruit, titratable acidity and ascorbic acid content.
Thesagro:	Acerola
Keywords:	Ácido arbóreco Malphighia emarginata
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CPATSA)