Selecting hazelnuts by coupling a self-organizing map (SOM) and an experimental system operating in transmission configuration

An experimental setup operating in transmission mode in the frequency range between 18 and 40 GHz is described. This study shows how the system is able to distinguish healthy and rotten hazelnuts. In addition, a Self-Organizing Map (SOM) trained with the Kohonen algorithm was used to classify the ha...

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Main Authors: Greco, Manuel, Giarnetti, Sabino, Giovenale, Emilio, Senni, Luca, Leccese, Fabio, Doria, Andrea, Taschin, Andrea
Format: Conference Proceeding
Language:English
Subjects:
Classification algorithms
Color
Couplings
Matlab
Neural networks
Self-organizing feature maps
Software
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Giarnetti, Sabino
Giovenale, Emilio
Senni, Luca
Leccese, Fabio
Doria, Andrea
Taschin, Andrea
description An experimental setup operating in transmission mode in the frequency range between 18 and 40 GHz is described. This study shows how the system is able to distinguish healthy and rotten hazelnuts. In addition, a Self-Organizing Map (SOM) trained with the Kohonen algorithm was used to classify the hazelnuts according to their quality.
doi_str_mv 10.1109/IRMMW-THz57677.2023.10299380
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source IEEE Xplore All Conference Series
subjects Classification algorithms
Color
Couplings
Matlab
Neural networks
Self-organizing feature maps
Software
title Selecting hazelnuts by coupling a self-organizing map (SOM) and an experimental system operating in transmission configuration
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