Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

Early automatic detection of fungal infections in post-harvest citrus fruits is especially important for the citrus industry because only a few infected fruits can spread the infection to a whole batch during operations such as storage or exportation, thus causing great economic losses. Nowadays, th...

Full description

Bibliographic Details
Main Authors: Lorente, Delia, Aleixos, Nuria, Gómez-Sanchís, Juan, Cubero, Sergio, Blasco, José
Format: article
Language:Inglés
Published: 2017
Online Access:http://hdl.handle.net/20.500.11939/5544

Similar Items: Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks