ABSTRACT
In recent years, use of image processing has been increasing day by day in different areas such as industrial image processing, medical imaging, real time imaging, texture classification, object recognition, etc. Image processing and computer vision in agriculture is another fast growing research field. It is an important analysing tool for pre-harvest to postharvest of crops. It has lots of applications in agriculture. The cultivation of crops can be improved by the technological support. The ability to identify the fruits based on the quality in food industry is very important nowadays where every person has become health conscious. There are different types of fruits available in the market. However, to identify best quality fruits is cumbersome task. Therefore, we come up with the system where fruit is detected under natural lighting conditions. The method used is texture detection method and shape detection. For this methodology, we use image processing to detect particular eight type of fruit. This fruit detection project is implemented in python using CNN convolutional neural network.
PROJECT OUTPUT
PROJECT DEMO VIDEO
.png)
