Fresh and Rotten Fruits Classification Using Vgg16 and Resnet50 Algorithm

Abstract

In Bangladesh fruit production was a traditional aspect of farming. Fruit cultivation has undergone a revolution. We acquire nourishment from fruits. Lt is a vitamin and mineral supplier. Fruits are also rotting towards the end of the packaging in the consumer. So we came up with this study effort to prevent these rotting fruit. Our method is to see if a fruit is fresh or rotting in the latest developments in computer vision and profound learning. Now the entire lot is clever and relies on generation. We can observe everywhere the use of Al and gadgets. After that, a gadget was built right here. An intelligent, quick gadget that can perceive clean and rotten fruit. We utilize the CNN architecture of the red fruit and clean fruit right here to vgg16 and resnet50. The utilization of photographic data enable this gadget to sense the proportion of red and fresh fruit. With a large farm and savory factory to perceive rotten fruit this gadget may make our artwork easier. In much less time, we want our artwork to be furthermore accurate. The vgg16 architecture produced best accuracy about 99.55%. So for implementation we used vgg16 model in our work.