Analysis of Different Techniques Used to Reduce The Food Waste Inside The Refrigerator

The population is increasing from day to day in the world but the food availability gradually decreasing due to a lack of proper methods in handling food waste at different levels like food supply chains, households, restaurants, etc. The major contribution of the food waste happening at households and the restaurants by overcooking and expiring the different items in the refrigerator without the knowledge. People will become obese as a result of the lack of nutrients in the spoiled or discarded food on their plates. Debris by the user refrigerator is the source of food waste. This is attributed to inadequate training, mass orders, and rotten produce. One such appliance is a refrigerator, the most popular of which is used for preparing food. In this paper, we present an extensive survey on different techniques in IoT and Machine Learning/Deep Learning methods, which are used to reduce the food waste inside the refrigerator. Different challenges are analyzed. The Researcher can understand the various reasons for food waste in households due to lack of proper knowledge on smart refrigerators and a few directions to work on this area