Expiry Prediction and Reducing Food Wastage using IoT and ML

نویسندگان

چکیده

This paper details development of a low-cost, small-size, and portable electronic nose (E-nose) for the prediction expiry date food products. The Sensor array is composed commercially available metal oxide semiconductors sensors like MQ2 sensor, temperature humidity which were interfaced with help ESP8266 Arduino Uno data acquisition, storage, analysis dataset consisting odor from fruit at different ripening stages. developed system used to analyze gas sensor values various fruits bananas tomatoes. Responding signals e-nose extracted analyzed. Based on obtained we applied few machine learning algorithms predict if banana stale or not. Logistic regression, Decision Tree Classifier, Support Vector Classifier (SVC) & K-Nearest Neighbours (KNN) classifiers binary classification determine whether became We achieved an accuracy 97.05%. These results prove that has potential assessing vegetable freshness their date, thus reducing wastage.

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ژورنال

عنوان ژورنال: International journal of electrical and computer engineering systems

سال: 2021

ISSN: ['1847-6996', '1847-7003']

DOI: https://doi.org/10.32985/ijeces.12.3.4