INNOVATIVE SMART TECHNOLOGY FOR FOOD QUALITY MONITORING AND MAINTENCE SYSTEM USING IOT

Abstract

The monitoring of food quality is crucial in ensuring food safety and reducing food waste. In this paper, we present the design and implementation of a smart food monitoring system that utilizes Internet of Things (IoT) and Machine Learning (ML) technologies. The system includes IoT devices such as temperature and humidity sensors, as well as gas concentration sensors, to continuously monitor food items. The data collected by these sensors is analyzed using machine learning algorithms to determine the freshness of the food. The system also features a web-based dashboard that displays real-time data and alerts when the food items reach a certain threshold level. The dash-board can be accessed remotely using a mobile app, making it easy for users to monitor their food from anywhere. The system's effectiveness was evaluated using various food items, and the results showed that it successfully predicted the freshness of food with high accuracy. By this way we can send food quality verifying hardware to the supermarkets. These quality checking gadgets keep watch an ecological component that causes or speeds up the disintegration of food. Later naturing this venture, food quality is comparable a checking gadget will be intended to screen ecological factors, for example, temperature, moistness, liquor quantity and openness to the brightness. Arduino board is the platform used to design this gadget. The Arduino Uno is associated with many sensors like DHT-11 used for measuring the temperature and humidness checking, MQ3 for liquor and Light Dependent Register to gauge light. This gadget sends estimated values sensor information to the IoT stage. Wi-Fi switch is used to interface ESP8266 Wi-Fi modem is associated with Internet. Sensor information is displayed on the LCD through Arduino. An IOT stage made use for sensor recording and verifying information is web serve.