This study aimed to evaluate the possibility to perform a fast, reliable and robust non-destructive monitoring of kiwifruits characteristics adopting an HyperSpectral Imaging (HSI) based approach. HSI was thus utilized for two different purposes: i) to test whether the postharvest ripeness of kiwifruits could be non-destructively determined and ii) for the diagnosis of pseudomonas infection in the Kiwi orchards. To reach the 1st goal (i.e. fruit ripening evaluation) a NIR Spectral Camera acting in the range between 900 and 1700 nm has been used. To reach the 2nd goal a hyperspectral camera working in the VIS-NIR range (400 nm – 1000 nm) was used. For both the approaches “only” significance and robustness of the collected data, in respect of the selected operative conditions, was investigated and the results have been evaluated in terms of different Principal Components (PC) images.

Non-destructive quality control of kiwi fruits by hyperspectral imaging / Serranti, S.; Bonifazi, G.; Luciani, V.. - ELETTRONICO. - 10217:(2017), pp. 1-14. (Intervento presentato al convegno Sensing for agriculture and food quality and safety IX 2017 tenutosi a Anaheim, California, USA nel 09-13 Aprile 2017) [10.1117/12.2255055].

Non-destructive quality control of kiwi fruits by hyperspectral imaging

Serranti, S.
;
Bonifazi, G.;Luciani, V.
2017

Abstract

This study aimed to evaluate the possibility to perform a fast, reliable and robust non-destructive monitoring of kiwifruits characteristics adopting an HyperSpectral Imaging (HSI) based approach. HSI was thus utilized for two different purposes: i) to test whether the postharvest ripeness of kiwifruits could be non-destructively determined and ii) for the diagnosis of pseudomonas infection in the Kiwi orchards. To reach the 1st goal (i.e. fruit ripening evaluation) a NIR Spectral Camera acting in the range between 900 and 1700 nm has been used. To reach the 2nd goal a hyperspectral camera working in the VIS-NIR range (400 nm – 1000 nm) was used. For both the approaches “only” significance and robustness of the collected data, in respect of the selected operative conditions, was investigated and the results have been evaluated in terms of different Principal Components (PC) images.
2017
Sensing for agriculture and food quality and safety IX 2017
hyperspectral imaging; kiwifruit; monitoring; quality control
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Non-destructive quality control of kiwi fruits by hyperspectral imaging / Serranti, S.; Bonifazi, G.; Luciani, V.. - ELETTRONICO. - 10217:(2017), pp. 1-14. (Intervento presentato al convegno Sensing for agriculture and food quality and safety IX 2017 tenutosi a Anaheim, California, USA nel 09-13 Aprile 2017) [10.1117/12.2255055].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1022333
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