An electronic nose based on MOS type chemical sensors has been used to detect fruit ripeness. Different varieties of fruit classified in three different classes as unripe, ripe and overripe, were analysed. Starting from 10 sensors it was found that only one (W5S) is relevant to discriminate among fruit on the basis of their ripeness. The discrimination ability of the sensor array was studied separately for each fruit variety, as well as for the whole set. Multivariate statistical analysis was applied to classify fruits in an objective and simple way.
Detecting of fruit ripeness in the orchard, packing house and retail store of the future / S. Buratti, S. Benedetti, S. Mannino - In: Olfaction and electronic nose : Proceedings of the 13th International Symposium on Olfaction and Electronic Nose / [a cura di] M. Pardo, G. Sbreveglieri. - [s.l] : American Institute of Physics, 2009. - ISBN 978-0-7354-0674-2. - pp. 430-431 (( Intervento presentato al 13. convegno The 13th International Symposium on Olfaction and Electronic Nose tenutosi a Brescia nel 2009 [10.1063/1.3156572].
Detecting of fruit ripeness in the orchard, packing house and retail store of the future
S. BurattiPrimo
;S. BenedettiSecondo
;S. ManninoUltimo
2009
Abstract
An electronic nose based on MOS type chemical sensors has been used to detect fruit ripeness. Different varieties of fruit classified in three different classes as unripe, ripe and overripe, were analysed. Starting from 10 sensors it was found that only one (W5S) is relevant to discriminate among fruit on the basis of their ripeness. The discrimination ability of the sensor array was studied separately for each fruit variety, as well as for the whole set. Multivariate statistical analysis was applied to classify fruits in an objective and simple way.
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