Guava fruits storage shelf life determination using Electronic Nose

The e-nose system is developed in the present research work and extensively used for determination of storage shelflife of guava fruit since harvest in two different storage treatments. Two storage treatments were conducted; one is withpaper wrapping and another in plastic folded bag. PCA, MLP Feed forward neural network based PARC techniqueswere used to distinguish the guava fruits with different storage treatment and storage time. Result shows the ability of thedeveloped system to distinguish storage shelf life of guava fruit stored in different storage conditions.