Food Rotting Prediction and Detection System for warehouse

Abstract

this thesis paper presents an elementary approach to food spoilage detection and prediction in a warehouse setting, offering a practical and cost-effective solution to reduce food waste and improve food safety. This project develops a device that can predict and detect food spoilage in a timely and accurate manner by utilizing different gas sensors, temperature, and humidity sensor to predict and detect the presence of spoilage in stored food. The gathered data from the stored food is then processed and analyzed by the system. The output is displayed on an LED screen and a buzzer goes off to alert the food keepers. The project also involves the development of a user-friendly interface to allow for easy monitoring and management of the system. It uses a Bluetooth module to transmit the resulting data from the system. The findings of the study demonstrated the effectiveness of the Food Rotting Prediction and Detection System, with the sensors providing reliable data for predicting and detecting food spoilage. A mixed method analysis including thematic analysis and predictive modeling allows for more robust validation of the findings, as the results can be triangulated across different data sources.