Detecting moldy Bread using an E-nose and the KNN classifier

The human Nose has been used in many applications as an analytical tool. It can measure the quality of foods, drinks, perfumes, cosmetic, and also chemical products. So, it is commonly used for assessing quality through odor. Today, by utilizing technology, we can have E-nose as a machine for this goal. This study employs an E-nose and a classifier for detecting moldy bread. The designed E-nose is consisted of two main elements of hardware and software. The main parts of the system are odor handling and delivery system, signal conditioning and preprocessing unit, and a classification method. This work uses the commercial sensors which are available and helpful to detect moldy Bread. The E-nose uses a mechanism for handling and delivering the odor to increase the capability of sensor array signal output. At last, the KNN classifier algorithm is used to classify the odor into the odor of healthy and moldy bread.