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Articles

MULTIVARIATE ANALYSIS OF AN ON-LINE NIR SPECTROMETER UNDER INDUSTRIAL USE

Article number

674_66

Pages

513 – 519

Language

English

Abstract

This study validates an unsupervised procedure for the identification of daily event (general changes) and abnormal observations for an on-line NIR spectrometer under industrial use.
Process control statistics (Hotelling T², Q) are used for a multivariate supervision of the onion bulb classification under breeding strategy.
Since interactance is used for sample presentation, real time detection of abnormal spectra avoids misclassifications due to poor contact between bifurcated fibber and bulbs as well as to faults in the behaviour of the equipment which eventually occur due to the aggressiveness of the environment.

Publication

III International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food Chain; MODEL-IT

Authors

P. Barreiro, M. Ruiz-Altisent, C. Bielza, A. Moya-González

Keywords

robustness analysis, NIR application, onion, breeding, classification

Full text

https://doi.org/10.17660/ActaHortic.2005.674.66

Online Articles (81)

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