Kıyma Kokuşma Analizi İçin Düşük Maliyetli Elektronik Burun Geliştirilmesi

A low-cost, easy-to-use e-nose is developed to detect the spoilage of ground meat. E-nose consists hardware, software and data processing components. The main elements hardware component are gas sensors sensitive hydrogen sulfide (H2S) ammonia (NH3). Using MIT App Inventor 2 an Android application run component, retrieve data, pre-process send it Google Sheets. Classification model developed, management carried out in Colab Script. Logistic regression method used develop classification models from collected signals. classified samples as "spoiled" "fresh" based on concentrations. Nessler solution determine actual state. Ground beef stored refrigerator at room temperature obtain spoiled fresh a logistic model. total 36 Another set 24 test prototype device performance. It observed that all testing phase were correctly. cost system has been determined approximately $100 considering January 2021 exchange rates.