Maintaining and controlling the appropriate temperature and other conditions of the cold chain for perishable products is important research area, since in case of improper handling, we lose huge amounts of food. With the implementation of smart sensor systems and algorithms, we can detect deviations and respond appropriately to them. In the master's thesis, we developed a prototype sensor system for real-time data monitoring and analysis with a supportive web application. The microcontroller NodeMCU ensures communication with sensors for temperature, humidity, oxygen, carbon dioxide, ethylene and light; the data is recorded on a memory card or sent via Wi-Fi connection to the server. Based on temperature measurement, we dynamically predicted the shelf life of the fish. We tested our system with fruit and vegetables for analysis of ripening under cold storage conditions and the effect of ethylene in apples on cucumbers.