Non-destructive Food Quality Monitoring System

Food waste is one of the biggest costs of concern in all over the country. Research papers roughly say food wastage is about 1,300,000,000 tons. This paper provides a detailed view of predictive analytics of ML together comparing different strategies to separate different types of food. Non-destructive food quality is checked by based on the outer appearance of the given sample without destructing and sensed by the given sensors. This proposed system employed with PIC microcontroller which acts as a central processing unit, hygrometer, and temperature sensors together with three types of gas sensors which send the data sent to the cloud. For classifying the different types of foods like vegetables, fruits, and dairy qualities, the data is sensed with different types of grove gas sensors MQ9 (CO, Coal, Gas, Liquid Gas), MQ3 (Alcohol Vapor), and MQ2 (Combustible Gas, Smoke) furthermore with environmental sensors were acquired and sent that data to the Internet of Things. The novelty of this system is used to predict the quality of food under climatic conditions and also in traveling time with the help of IoT and their android application and the estimation of time that can preserve the different types of food in the storage.