Abstract
The method of electronic nose to evaluate quality of shallot was developed. The response signals of sensor array to shallot odor were measured. Six plots of shallot were cultivated with different chemical substances. The patterns of sensor responses to shallot odor of each plot were clustered by two-dimensional principal component analysis (PCA). The result shown that six shallot plots were clearly classified into 2 groups. The same observation was also seen in the PCA scores based on the optimized set of sensors without any significant performance changes. These results suggest that the shallot cultivated by additional nutrient can be possibly evaluated in the simple and fast way using low-cost electronic nose system.
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