ABSTRACT
Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. Fruit diseases can cause significant losses in yield and quality appeared in harvesting. Some fruit diseases also infect other areas of the tree causing diseases of twigs, leaves and branches. An early detection of fruit diseases can aid in decreasing such losses and can stop further spread of diseases. A lot of work has been done to automate the visual inspection of the fruits by machine vision with respect to size and color. However, detection of defects in the fruits using images is still problematic due to the natural variability of skin color in different types of fruits, high variance of defect types, and presence of stem/calyx. To know what control factors to consider next year to overcome similar losses, it is of great significance to analyze what is being observed. In this project, Fruit Disease Detection done using image processing in matlab. The image processing based proposed approach is composed this project. Our experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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