文献
J-GLOBAL ID:201702279539135743
整理番号:17A0443776
アセロラ果実品質の評価におけるマイクロNIRおよびFT-NIR分光計の分析性能の比較,PLS及びSVM回帰アルゴリズムを用いた【Powered by NICT】
Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms
著者 (6件):
Malegori Cristina
(DeFENS Department of Food, Environmental and Nutritional Sciences, Universita degli Studi di Milano, Milano, Italy)
,
Nascimento Marques Emanuel Jose
(Department of Fundamental Chemistry, Federal University of Pernambuco, Recife (PE), Brazil)
,
de Freitas Sergio Tonetto
(Embrapa Tropical Semiarid, Brazilian Agricultural Research Corporation, Petrolina (PE), Brazil)
,
Pimentel Maria Fernanda
(Department of Chemical Engineering, Federal University of Pernambuco, Recife (PE), Brazil)
,
Pasquini Celio
(Institute of Chemistry, University of Campinas, Campinas (SP), Brazil)
,
Casiraghi Ernestina
(DeFENS Department of Food, Environmental and Nutritional Sciences, Universita degli Studi di Milano, Milano, Italy)
資料名:
Talanta
(Talanta)
巻:
165
ページ:
112-116
発行年:
2017年
JST資料番号:
E0324A
ISSN:
0039-9140
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)