Abstract:

In this work, an electronic nose was used to evaluate the different cultivars and mature stages of melons. When the maturity was distinguished according to color, the score plot of the principal component analysis (PCA ) and linear discrimination analysis (LDA ) for the electronic nose measurement show that immature melons can be distinguished from mature melons. The PCA can be used to classify and identify 100% of melon maturity. Meanwhile, the electronic nose was used to distinguish the different cultivars of melons and showed high levels of classification. There was slightly flavor changes of cut and no cut samples, so it is easy to distinguish some of cultivars when the samples are cut using the electronic nose for some melon cultivars. By this research, we built a rapid and accurate method to judge the maturity of melons instead of man sense.