Selection of NIR wavelengths from hyperspectral imaging data for the quality evaluation of acerola fruit.

Selection of NIR wavelengths from hyperspectral imaging data for the quality evaluation of acerola fruit.

The aim of this work is to evaluate Acerola post-harvest quality using NIR hyperspectral imaging.

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Bibliographic Details
Main Authors: MALEGORI, C., GOWEN, A., MARQUES, E., AVELAR, M. F. P., FREITAS, S. T. de, PASQUINI, C., CASIRAGHI, E.
Other Authors: CRISTINA MALEGORI, Università degli Studi di Milano; AOIFE GOWEN, University College Dublin; EMANUEL MARQUES, UFPE; MARIA FERNANDA PIMENTEL AVELAR, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; CELIO PASQUINI, UNICAMP; ERNESTINA CASIRAGHI, University of Milan.
Format: Parte de livro biblioteca
Language:English
eng
Published: 2015-12-09
Subjects:Imagens hiperespectrais., Acerola, Pós-colheita, Qualidade.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1031152
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1031152

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