Identification of Herbaceous Plants with Electronic Nose using Fuzzy Logic Algorithm

Herbs produce non-woody stems and have many applications in medicine, food, and perfume products. We used an electronic nose system and a fuzzy logic algorithm to identify herbaceous plants in this study. The gases emitted by the plants were analyzed with the MQ sensors. The results were used with a fuzzy logic approach to identify the name of the plant. The performance of the prototype system was evaluated for Oregano, Spearmint, and Peppermint with 38/45 plant samples. The prototype showed an accuracy of 100% for identifying oregano, 73.33% for spearmint, and 80.00% for peppermint. The overall accuracy was 84.44%.