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.
