The Internet of things (IoT) attempts to use the internet to connect various things and objects. We are motivated to apply for the food preservation domain, such as maintaining the quality of fruits and vegetables, by the Internet of Things. A cold storage system has been suggested for this project in order to examine the environmental conditions in which the food item is being stored. The suggested approach measures the surrounding environment's temperature, moisture, and gas characteristics because they have an impact on food products' nutritional properties. In this project, we designed and implemented an Arduino that serves as a sensor node for the cold storage building and a central base station that is connected to the cloud to facilitate data storage functionalities. By establishing a connection to the database via its IP address, the sensor values are delivered to the base station from the cloud and stored there. Then, a data fusion model that uses many sensed data as input and one fused piece of information or action to be taken as output is tried. Thus, numerous inputs, such as temperature and humidity, were combined and averaged to generate a single, consolidated output on the basis of which judgments might be made in the future. In order to facilitate user engagement and connectivity between an IoT-based station/gateway and the internet, this project is integrating an Android mobile application. The distant cold storage live positions are tracked using GPS