Vegetable and Fruits Image Segmentation and Recognition for fungus detection using MATLAB

Idea Description

                          We have planned to develop an image processing technique to analyze whether the fruit is free from chemicals and fungus. In our paper, we have implemented MATLAB used as well as fungus present in the fruit. We capture the images of the fruit or we use datasets and train the database with different color-based changes that happen after adding chemicals to the fruit. The enhancement process is carried out in the captured image. Then image is segmented to hit the regions with affected spots in the fruit. K-means method is used to carry out the segmentation process. The input image is compared with the given data set for training to identify the images. In this way unhealthy fruits can be identified and the affected spots in the fruit can be detected

Challenges The Idea is Addressing

It may not be accurate

Benefits of Idea Implementation

Gives an effective savvy cultivating method which will help for better yield and development with less human endeavors. • With brilliant cultivating the present agriculturist can utilize choice instruments and mechanization strategies which flawlessly coordinate item, learning and administrations for better efficiency, evaluating and surplus yield . • It would likewise elevate Farmers to do smart cultivating which sets aside opportunity to time choices which additionally spare time and lessen loss of fruit because of diseases.

Team

• 

  Shadha Almajrafi

• 

  Rawan Alkalbani