Fruit Freshness Detection by Using Tensorflow

Abstract

We are human beings. We need food to live. Because we get nutrition from food. Most of the nutrition is taken from fruits. The fruit is the source of huge amounts of vitamins and minerals. It also improves our immune system and makes us strong. The fruit juice is also delicious and healthy for us. But the rotten fruit and the juice are made from it are unhealthy poisonous to us. Nowadays people are buying rotten fruits and businessmen are also sold rotten fruits or use them to make juice without knowing. So I think about this and try to do something. Now everything became smart and technology-dependent. We can see the use of AI and machine learning everywhere. Following this, I built here a system. A system that is smart, fast and that system can identify fresh and rotten fruits. I use here python CNN model and TensorFlow library to classifying the rotten fruit and fresh fruit. This system can identify the percentage of rotten and freshness of fruit by using image data. This system can make our work easy with a big farm and juice factory to identify rotted fruit. We hope that it will make our work more accurate in less time.