Feature discovery in NIR spectroscopy based Rocha pear classification

Non-invasive techniques for automatic fruit classification are gaining importance in the global agro-industry as they allow for optimizing harvesting, storage, management, and distribution decisions. Visible, near infra-red (NIR) diffuse reflectance spectroscopy is one of the most employed technique...

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Detalhes bibliográficos
Autor principal: Daniel, Mariana (author)
Outros Autores: Guerra, Rui Manuel Farinha das Neves (author), Brazio, António (author), Rodrigues, Daniela (author), M. Cavaco, A. (author), Antunes, Maria Dulce (author), Valente de Oliveira, JOSÉ (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Feature extraction
Feature selection
Data analysis
Classification
Machine learning
Texto completo:http://hdl.handle.net/10400.1/16744
País:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/16744

Texto Completo

http://hdl.handle.net/10400.1/16744

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