GUAVA FRUITS STORAGE SHELF LIFE DETERMINATION IN DIFFERENT STORAGE CONDITIONS USING E-NOSE SYSTEMAshok Kanade, Rajendra Gosavi and Tushar SalveAbstract The E-nose system based on metal oxide semiconductor sensors array is developed and extensively used for the determination of storage shelf life of guava fruit since harvest in two different storage treatments. The objective behind this experiment is to check whether the developed e-nose system is able to identify the ripening pattern of guava during different storage conditions. Two storage treatments were conducted; one is with paper wrapping and another is in plastic folded bag. PCA, MLP Feed forward neural network and fuzzy logic based pattern recognition techniques were used to distinguish the guava fruits with different storage treatment and storage time. The experimental results suggest that this e-nose system is capable to classify guava fruits storage shelf life since harvest and it would be a feasible system to be used in a real scenario. |