An innovative multivariate strategy for HSI-NIR images to automatically detect defects in green coffee.

Oliveri, Paolo; Malegori, Cristina; Casale, Monica; Tartacca, Edoardo; Salvatori, Gianni

Oliveri, Paolo; Malegori, Cristina; Casale, Monica; Tartacca, Edoardo; Salvatori, Gianni.

Afiliación

Oliveri P; DIFAR - Department of Pharmacy, University of Genova, Viale Cembrano, 4, 16148 Genova, Italy. Electronic address: oliveri@difar.unige.it.
Malegori C; DIFAR - Department of Pharmacy, University of Genova, Viale Cembrano, 4, 16148 Genova, Italy.
Casale M; DIFAR - Department of Pharmacy, University of Genova, Viale Cembrano, 4, 16148 Genova, Italy.
Tartacca E; Italian Customs and Monopolies Agency, Genova Customs Laboratory, Via Rubattino, 6, 16126 Genova, Italy.
Salvatori G; Italian Customs and Monopolies Agency, Genova Customs Laboratory, Via Rubattino, 6, 16126 Genova, Italy.

Talanta ; 199: 270-276, 2019 Jul 01.

Article en En | MEDLINE | ID: mdl-30952257

Asunto(s)

Automatización; Café/química; Rayos Infrarrojos; Espectroscopía Infrarroja Corta

Palabras clave

Defect identification; Green coffee; Hyperspectral Imaging (HSI); Near infrared spectroscopy (NIR); Object-based data processing; k-nearest neighbors (k-NN)

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Automatización / Café Tipo de estudio: Prognostic_studies Idioma: En Revista: Talanta Año: 2019 Tipo del documento: Article

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