Detecting of Fruit Ripeness in the Orchard, Packing House and Retail Store of the Future

摘要

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.